| confluent kafka interview questions: Kafka: The Definitive Guide Neha Narkhede, Gwen Shapira, Todd Palino, 2017-08-31 Every enterprise application creates data, whether it’s log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you’ll learn Kafka’s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. Understand publish-subscribe messaging and how it fits in the big data ecosystem. Explore Kafka producers and consumers for writing and reading messages Understand Kafka patterns and use-case requirements to ensure reliable data delivery Get best practices for building data pipelines and applications with Kafka Manage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasks Learn the most critical metrics among Kafka’s operational measurements Explore how Kafka’s stream delivery capabilities make it a perfect source for stream processing systems |
| confluent kafka interview questions: Kafka Streams in Action Bill Bejeck, 2018-08-29 Summary Kafka Streams in Action teaches you everything you need to know to implement stream processing on data flowing into your Kafka platform, allowing you to focus on getting more from your data without sacrificing time or effort. Foreword by Neha Narkhede, Cocreator of Apache Kafka Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Not all stream-based applications require a dedicated processing cluster. The lightweight Kafka Streams library provides exactly the power and simplicity you need for message handling in microservices and real-time event processing. With the Kafka Streams API, you filter and transform data streams with just Kafka and your application. About the Book Kafka Streams in Action teaches you to implement stream processing within the Kafka platform. In this easy-to-follow book, you'll explore real-world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events. You'll even dive into streaming SQL with KSQL! Practical to the very end, it finishes with testing and operational aspects, such as monitoring and debugging. What's inside Using the KStreams API Filtering, transforming, and splitting data Working with the Processor API Integrating with external systems About the Reader Assumes some experience with distributed systems. No knowledge of Kafka or streaming applications required. About the Author Bill Bejeck is a Kafka Streams contributor and Confluent engineer with over 15 years of software development experience. Table of Contents PART 1 - GETTING STARTED WITH KAFKA STREAMS Welcome to Kafka Streams Kafka quicklyPART 2 - KAFKA STREAMS DEVELOPMENT Developing Kafka Streams Streams and state The KTable API The Processor APIPART 3 - ADMINISTERING KAFKA STREAMS Monitoring and performance Testing a Kafka Streams applicationPART 4 - ADVANCED CONCEPTS WITH KAFKA STREAMS Advanced applications with Kafka StreamsAPPENDIXES Appendix A - Additional configuration information Appendix B - Exactly once semantics |
| confluent kafka interview questions: Kafka Streams - Real-time Stream Processing Prashant Kumar Pandey, 2019-03-26 The book Kafka Streams - Real-time Stream Processing helps you understand the stream processing in general and apply that skill to Kafka streams programming. This book is focusing mainly on the new generation of the Kafka Streams library available in the Apache Kafka 2.x. The primary focus of this book is on Kafka Streams. However, the book also touches on the other Apache Kafka capabilities and concepts that are necessary to grasp the Kafka Streams programming. Who should read this book? Kafka Streams: Real-time Stream Processing is written for software engineers willing to develop a stream processing application using Kafka Streams library. I am also writing this book for data architects and data engineers who are responsible for designing and building the organization’s data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Kafka implementation, but they work with the people who implement Kafka Streams at the ground level. What should you already know? This book assumes that the reader is familiar with the basics of Java programming language. The source code and examples in this book are using Java 8, and I will be using Java 8 lambda syntax, so experience with lambda will be helpful. Kafka Streams is a library that runs on Kafka. Having a good fundamental knowledge of Kafka is essential to get the most out of Kafka Streams. I will touch base on the mandatory Kafka concepts for those who are new to Kafka. The book also assumes that you have some familiarity and experience in running and working on the Linux operating system. |
| confluent kafka interview questions: Mastering Kafka Streams and ksqlDB Mitch Seymour, 2021-02-04 Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time. Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backdrop of several interesting business problems. You'll learn the strengths of both Kafka Streams and ksqlDB to help you choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. Learn the basics of Kafka and the pub/sub communication pattern Build stateless and stateful stream processing applications using Kafka Streams and ksqlDB Perform advanced stateful operations, including windowed joins and aggregations Understand how stateful processing works under the hood Learn about ksqlDB's data integration features, powered by Kafka Connect Work with different types of collections in ksqlDB and perform push and pull queries Deploy your Kafka Streams and ksqlDB applications to production |
| confluent kafka interview questions: Effective Kafka Emil Koutanov, 2020-03-17 The software architecture landscape has evolved dramatically over the past decade. Microservices have displaced monoliths. Data and applications are increasingly becoming distributed and decentralised. But composing disparate systems is a hard problem. More recently, software practitioners have been rapidly converging on event-driven architecture as a sustainable way of dealing with complexity - integrating systems without increasing their coupling.In Effective Kafka, Emil Koutanov explores the fundamentals of Event-Driven Architecture - using Apache Kafka - the world's most popular and supported open-source event streaming platform.You'll learn: - The fundamentals of event-driven architecture and event streaming platforms- The background and rationale behind Apache Kafka, its numerous potential uses and applications- The architecture and core concepts - the underlying software components, partitioning and parallelism, load-balancing, record ordering and consistency modes- Installation of Kafka and related tooling - using standalone deployments, clusters, and containerised deployments with Docker- Using CLI tools to interact with and administer Kafka classes, as well as publishing data and browsing topics- Using third-party web-based tools for monitoring a cluster and gaining insights into the event streams- Building stream processing applications in Java 11 using off-the-shelf client libraries- Patterns and best-practice for organising the application architecture, with emphasis on maintainability and testability of the resulting code- The numerous gotchas that lurk in Kafka's client and broker configuration, and how to counter them- Theoretical background on distributed and concurrent computing, exploring factors affecting their liveness and safety- Best-practices for running multi-tenanted clusters across diverse engineering teams, how teams collaborate to build complex systems at scale and equitably share the cluster with the aid of quotas- Operational aspects of running Kafka clusters at scale, performance tuning and methods for optimising network and storage utilisation- All aspects of Kafka security -including network segregation, encryption, certificates, authentication and authorization.The coverage is progressively delivered and carefully aimed at giving you a journey-like experience into becoming proficient with Apache Kafka and Event-Driven Architecture. The goal is to get you designing and building applications. And by the conclusion of this book, you will be a confident practitioner and a Kafka evangelist within your organisation - wielding the knowledge necessary to teach others. |
| confluent kafka interview questions: Programming AWS Lambda John Chapin, Mike Roberts, 2020-03-18 Serverless revolutionizes the way organizations build and deploy software. With this hands-on guide, Java engineers will learn how to use their experience in the new world of serverless computing. You’ll discover how this cloud computing execution model can drastically decrease the complexity in developing and operating applications while reducing costs and time to market. Engineering leaders John Chapin and Mike Roberts guide you through the process of developing these applications using AWS Lambda, Amazon’s event-driven, serverless computing platform. You’ll learn how to prepare the development environment, program Lambda functions, and deploy and operate your serverless software. The chapters include exercises to help you through each aspect of the process. Get an introduction to serverless, functions as a service, and AWS Lambda Learn how to deploy working Lambda functions to the cloud Program Lambda functions and learn how the Lambda platform integrates with other AWS services Build and package Java-based Lambda code and dependencies Create serverless applications by building a serverless API and data pipeline Test your serverless applications using automated techniques Apply advanced techniques to build production-ready applications Understand both the gotchas and new opportunities of serverless architecture |
| confluent kafka interview questions: Programming Scala Dean Wampler, Alex Payne, 2014-12-04 Get up to speed on Scala, the JVM language that offers all the benefits of a modern object model, functional programming, and an advanced type system. Packed with code examples, this comprehensive book shows you how to be productive with the language and ecosystem right away, and explains why Scala is ideal for today's highly scalable, data-centric applications that support concurrency and distribution. This second edition covers recent language features, with new chapters on pattern matching, comprehensions, and advanced functional programming. You’ll also learn about Scala’s command-line tools, third-party tools, libraries, and language-aware plugins for editors and IDEs. This book is ideal for beginning and advanced Scala developers alike. Program faster with Scala’s succinct and flexible syntax Dive into basic and advanced functional programming (FP) techniques Build killer big-data apps, using Scala’s functional combinators Use traits for mixin composition and pattern matching for data extraction Learn the sophisticated type system that combines FP and object-oriented programming concepts Explore Scala-specific concurrency tools, including Akka Understand how to develop rich domain-specific languages Learn good design techniques for building scalable and robust Scala applications |
| confluent kafka interview questions: Functional Web Development with Elixir, OTP, and Phoenix Lance Halvorsen, 2018-01-25 Elixir and Phoenix are generating tremendous excitement as an unbeatable platform for building modern web applications. For decades OTP has helped developers create incredibly robust, scalable applications with unparalleled uptime. Make the most of them as you build a stateful web app with Elixir, OTP, and Phoenix. Model domain entities without an ORM or a database. Manage server state and keep your code clean with OTP Behaviours. Layer on a Phoenix web interface without coupling it to the business logic. Open doors to powerful new techniques that will get you thinking about web development in fundamentally new ways. Elixir and OTP provide exceptional tools to build rock-solid back-end applications that scale. In this book, you'll build a web application in a radically different way, with a back end that holds application state. You'll use persistent Phoenix Channel connections instead of HTTP's request-response, and create the full application in distinct, decoupled layers. In Part 1, start by building the business logic as a separate application, without Phoenix. Model the application domain with Elixir functions and simple data structures. By keeping state in memory instead of a database, you can reduce latency and simplify your code. In Part 2, add in the GenServer Behaviour to make managing in-memory state a breeze. Create a supervision tree to boost fault tolerance while separating error handling from business logic. Phoenix is a modern web framework you can layer on top of business logic while keeping the two completely decoupled. In Part 3, you'll do exactly that as you build a web interface with Phoenix. Bring in the application from Part 2 as a dependency to a new Phoenix project. Then use ultra-scalable Phoenix Channels to establish persistent connections between the stateful server and a stateful front-end client. You're going to love this way of building web apps! What You Need: You'll need a computer that can run Elixir version 1.5 or higher and Phoenix 1.3 or higher. Some familiarity with Elixir and Phoenix is recommended. |
| confluent kafka interview questions: The Developer's Code Ka Wai Cheung, 2012-02-07 You're already a great coder, but awesome coding chops aren't always enough to get you through your toughest projects. You need these 50+ nuggets of wisdom. Veteran programmers: reinvigorate your passion for developing web applications. New programmers: here's the guidance you need to get started. With this book, you'll think about your job in new and enlightened ways. The Developer's Code isn't about the code you write, it's about the code you live by. There are no trite superlatives here. Packed with lessons learned from more than a decade of software development experience, author Ka Wai Cheung takes you through the programming profession from nearly every angle to uncover ways of sustaining a healthy connection with your work. You'll see how to stay productive even on the longest projects. You'll create a workflow that works with you, not against you. And you'll learn how to deal with clients whose goals don't align with your own. If you don't handle them just right, issues such as these can crush even the most seasoned, motivated developer. But with the right approach, you can transcend these common problems and become the professional developer you want to be. In more than 50 nuggets of wisdom, you'll learn: Why many traditional approaches to process and development roles in this industry are wrong - and how to sniff them out. Why you must always say no to the software pet project and open-ended timelines. How to incorporate code generation into your development process, and why its benefits go far beyond just faster code output. What to do when your client or end user disagrees with an approach you believe in. How to pay your knowledge forward to future generations of programmers through teaching and evangelism. If you're in this industry for the long run, you'll be coming back to this book again and again. |
| confluent kafka interview questions: Data Teams Jesse Anderson, 2020 |
| confluent kafka interview questions: Build Chatbot Interactions Daniel Pritchett, 2019-06-13 The next step in the evolution of user interfaces is here. Chatbots let your users interact with your service in their own natural language. Use free and open source tools along with Ruby to build creative, useful, and unexpected interactions for users. Take advantage of the Lita framework's step-by-step implementation strategy to simplify bot development and testing. From novices to experts, chatbots are an area in which everyone can participate. Exercise your creativity by creating chatbot skills for communicating, information, and fun. Developers of all skill levels can craft user experiences that are natural, easy to use, and most of all, fun. Build chatbots using free, open source tools and launch them to popular chat platforms like Slack and Amazon's Alexa. Use the Ruby programming language and the Lita bot framework to unlock fun and powerful chat abilities such as sending text messages and emails, creating new meme images, driving a robot around the room, and talking out loud on a home speaker. Use frameworks available in Ruby and Node.js to get started quickly. Create simple chatbot skills that respond quickly to basic requests. Chain skills together for more complex interactions. Take advantage of test-driven development techniques to build your bots with confidence. Coordinate tasks with colleagues via bot. Connect with external APIs to provide users with data they need. Extract data information from web pages when an API isn't available. Expand your bot's reach with SMS and e-mail messaging. Deploy a chatbot to a host so users can interact with it on their schedule. Build a more responsive, easy-to-use interface for your users today. What You Need: You don't need much to get started with chatbots. A Mac or Linux computer with a recent version of Ruby is recommended. Windows users can keep up with a free virtual machine running Linux. You'll deploy your chatbots for free (or at least cheaply) on cloud hosting platforms like Heroku and Digital Ocean. |
| confluent kafka interview questions: Enterprise Application Architecture with .NET Core Ganesan Senthilvel, Ovais Mehboob Ahmed Khan, Habib Ahmed Qureshi, 2017-04-25 Architect and design highly scalable, robust, clean and highly performant applications in .NET Core About This Book Incorporate architectural soft-skills such as DevOps and Agile methodologies to enhance program-level objectives Gain knowledge of architectural approaches on the likes of SOA architecture and microservices to provide traceability and rationale for architectural decisions Explore a variety of practical use cases and code examples to implement the tools and techniques described in the book Who This Book Is For This book is for experienced .NET developers who are aspiring to become architects of enterprise-grade applications, as well as software architects who would like to leverage .NET to create effective blueprints of applications. What You Will Learn Grasp the important aspects and best practices of application lifecycle management Leverage the popular ALM tools, application insights, and their usage to monitor performance, testability, and optimization tools in an enterprise Explore various authentication models such as social media-based authentication, 2FA and OpenID Connect, learn authorization techniques Explore Azure with various solution approaches for Microservices and Serverless architecture along with Docker containers Gain knowledge about the recent market trends and practices and how they can be achieved with .NET Core and Microsoft tools and technologies In Detail If you want to design and develop enterprise applications using .NET Core as the development framework and learn about industry-wide best practices and guidelines, then this book is for you. The book starts with a brief introduction to enterprise architecture, which will help you to understand what enterprise architecture is and what the key components are. It will then teach you about the types of patterns and the principles of software development, and explain the various aspects of distributed computing to keep your applications effective and scalable. These chapters act as a catalyst to start the practical implementation, and design and develop applications using different architectural approaches, such as layered architecture, service oriented architecture, microservices and cloud-specific solutions. Gradually, you will learn about the different approaches and models of the Security framework and explore various authentication models and authorization techniques, such as social media-based authentication and safe storage using app secrets. By the end of the book, you will get to know the concepts and usage of the emerging fields, such as DevOps, BigData, architectural practices, and Artificial Intelligence. Style and approach Filled with examples and use cases, this guide takes a no-nonsense approach to show you the best tools and techniques required to become a successful software architect. |
| confluent kafka interview questions: Microservices Patterns Chris Richardson, 2018-10-27 A comprehensive overview of the challenges teams face when moving to microservices, with industry-tested solutions to these problems. - Tim Moore, Lightbend 44 reusable patterns to develop and deploy reliable production-quality microservices-based applications, with worked examples in Java Key Features 44 design patterns for building and deploying microservices applications Drawing on decades of unique experience from author and microservice architecture pioneer Chris Richardson A pragmatic approach to the benefits and the drawbacks of microservices architecture Solve service decomposition, transaction management, and inter-service communication Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Microservices Patterns teaches you 44 reusable patterns to reliably develop and deploy production-quality microservices-based applications. This invaluable set of design patterns builds on decades of distributed system experience, adding new patterns for composing services into systems that scale and perform under real-world conditions. More than just a patterns catalog, this practical guide with worked examples offers industry-tested advice to help you design, implement, test, and deploy your microservices-based application. What You Will Learn How (and why!) to use microservices architecture Service decomposition strategies Transaction management and querying patterns Effective testing strategies Deployment patterns This Book Is Written For Written for enterprise developers familiar with standard enterprise application architecture. Examples are in Java. About The Author Chris Richardson is a Java Champion, a JavaOne rock star, author of Manning’s POJOs in Action, and creator of the original CloudFoundry.com. Table of Contents Escaping monolithic hell Decomposition strategies Interprocess communication in a microservice architecture Managing transactions with sagas Designing business logic in a microservice architecture Developing business logic with event sourcing Implementing queries in a microservice architecture External API patterns Testing microservices: part 1 Testing microservices: part 2 Developing production-ready services Deploying microservices Refactoring to microservices |
| confluent kafka interview questions: Streaming Architecture Ted Dunning, Ellen Friedman, 2016-05-10 More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you’ll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm. Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer. To illustrate the effectiveness of these technologies, this book also includes specific use cases. Ideal for developers and non-technical people alike, this book describes: Key elements in good design for streaming analytics, focusing on the essential characteristics of the messaging layer New messaging technologies, including Apache Kafka and MapR Streams, with links to sample code Technology choices for streaming analytics: Apache Spark Streaming, Apache Flink, Apache Storm, and Apache Apex How stream-based architectures are helpful to support microservices Specific use cases such as fraud detection and geo-distributed data streams Ted Dunning is Chief Applications Architect at MapR Technologies, and active in the open source community. He currently serves as VP for Incubator at the Apache Foundation, as a champion and mentor for a large number of projects, and as committer and PMC member of the Apache ZooKeeper and Drill projects. Ted is on Twitter as @ted_dunning. Ellen Friedman, a committer for the Apache Drill and Apache Mahout projects, is a solutions consultant and well-known speaker and author, currently writing mainly about big data topics. With a PhD in Biochemistry, she has years of experience as a research scientist and has written about a variety of technical topics. Ellen is on Twitter as @Ellen_Friedman. |
| confluent kafka interview questions: The Political Philosophy of Poststructuralist Anarchism Todd May, 1994-07-22 The political writings of the French poststructuralists have eluded articulation in the broader framework of general political philosophy primarily because of the pervasive tendency to define politics along a single parameter: the balance between state power and individual rights in liberalism and the focus on economic justice as a goal in Marxism. What poststructuralists like Michel Foucault, Gilles Deleuze, and Jean-François Lyotard offer instead is a political philosophy that can be called tactical: it emphasizes that power emerges from many different sources and operates along many different registers. This approach has roots in traditional anarchist thought, which sees the social and political field as a network of intertwined practices with overlapping political effects. The poststructuralist approach, however, eschews two questionable assumptions of anarchism, that human beings have an (essentially benign) essence and that power is always repressive, never productive. After positioning poststructuralist political thought against the background of Marxism and the traditional anarchism of Bakunin, Kropotkin, and Proudhon, Todd May shows what a tactical political philosophy like anarchism looks like shorn of its humanist commitments—namely, a poststructuralist anarchism. The book concludes with a defense, contra Habermas and Critical Theory, of poststructuralist political thought as having a metaethical structure allowing for positive ethical commitments. |
| confluent kafka interview questions: Designing Data-Intensive Applications Martin Kleppmann, 2017-03-16 Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures |
| confluent kafka interview questions: Cloud Native Patterns Cornelia Davis, 2019-05-12 Summary Cloud Native Patternsis your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This book presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Cloud platforms promise the holy grail: near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But how do you get there? By applying cloudnative designs, developers can build resilient, easily adaptable, web-scale distributed applications that handle massive user traffic and data loads. Learn these fundamental patterns and practices, and you'll be ready to thrive in the dynamic, distributed, virtual world of the cloud. About the Book With 25 years of experience under her belt, Cornelia Davis teaches you the practices and patterns that set cloud-native applications apart. With realistic examples and expert advice for working with apps, data, services, routing, and more, she shows you how to design and build software that functions beautifully on modern cloud platforms. As you read, you will start to appreciate that cloud-native computing is more about the how and why rather than the where. What's inside The lifecycle of cloud-native apps Cloud-scale configuration management Zero downtime upgrades, versioned services, and parallel deploys Service discovery and dynamic routing Managing interactions between services, including retries and circuit breakers About the Reader Requires basic software design skills and an ability to read Java or a similar language. About the Author Cornelia Davis is Vice President of Technology at Pivotal Software. A teacher at heart, she's spent the last 25 years making good software and great software developers. Table of Contents PART 1 - THE CLOUD-NATIVE CONTEXT You keep using that word: Defining cloud-native Running cloud-native applications in production The platform for cloud-native software PART 2 - CLOUD-NATIVE PATTERNS Event-driven microservices: It's not just request/response App redundancy: Scale-out and statelessness Application configuration: Not just environment variables The application lifecycle: Accounting for constant change Accessing apps: Services, routing, and service discovery Interaction redundancy: Retries and other control loops Fronting services: Circuit breakers and API gateways Troubleshooting: Finding the needle in the haystack Cloud-native data: Breaking the data monolith |
| confluent kafka interview questions: SAP HANA 2.0 Denys Van Kempen, 2019 Enter the fast-paced world of SAP HANA 2.0 with this introductory guide. Begin with an exploration of the technological backbone of SAP HANA as a database and platform. Then, step into key SAP HANA user roles and discover core capabilities for administration, application development, advanced analytics, security, data integration, and more. No matter how SAP HANA 2.0 fits into your business, this book is your starting point. In this book, you'll learn about: a. Technology Discover what makes an in-memory database platform. Learn about SAP HANA's journey from version 1.0 to 2.0, take a tour of your technology options, and walk through deployment scenarios and implementation requirements. b. Tools Unpack your SAP HANA toolkit. See essential tools in action, from SAP HANA cockpit and SAP HANA studio, to the SAP HANA Predictive Analytics Library and SAP HANA smart data integration. c. Key Roles Understand how to use SAP HANA as a developer, administrator, data scientist, data center architect, and more. Explore key tasks like backend programming with SQLScript, security setup with roles and authorizations, data integration with the SAP HANA Data Management Suite, and more. Highlights include: 1) Architecture 2) Administration 3) Application development 4) Analytics 5) Security 6) Data integration 7) Data architecture 8) Data center |
| confluent kafka interview questions: Ahead in the Cloud Stephen Orban, 2018-03-27 Cloud computing is the most significant technology development of our lifetimes. It has made countless new businesses possible and presents a massive opportunity for large enterprises to innovate like startups and retire decades of technical debt. But making the most of the cloud requires much more from enterprises than just a technology change. Stephen Orban led Dow Jones's journey toward digital agility as their CIO and now leads AWS's Enterprise Strategy function, where he helps leaders from the largest companies in the world transform their businesses. As he demonstrates in this book, enterprises must re-train their people, evolve their processes, and transform their cultures as they move to the cloud. By bringing together his experiences and those of a number of business leaders, Orban shines a light on what works, what doesn't, and how enterprises can transform themselves using the cloud. |
| confluent kafka interview questions: Engineering and Management of Data Centers Jorge Marx Gómez, Manuel Mora, Mahesh S. Raisinghani, Wolfgang Nebel, Rory V. O'Connor, 2017-11-10 This edited volume covers essential and recent development in the engineering and management of data centers. Data centers are complex systems requiring ongoing support, and their high value for keeping business continuity operations is crucial. The book presents core topics on the planning, design, implementation, operation and control, and sustainability of a data center from a didactical and practitioner viewpoint. Chapters include: · Foundations of data centers: Key Concepts and Taxonomies · ITSDM: A Methodology for IT Services Design · Managing Risks on Data Centers through Dashboards · Risk Analysis in Data Center Disaster Recovery Plans · Best practices in Data Center Management Case: KIO Networks · QoS in NaaS (Network as a Service) using Software Defined Networking · Optimization of Data Center Fault-Tolerance Design · Energetic Data Centre Design Considering Energy Efficiency Improvements During Operation · Demand-side Flexibility and Supply-side Management: The Use Case of Data Centers and Energy Utilities · DevOps: Foundations and its Utilization in Data Centers · Sustainable and Resilient Network Infrastructure Design for Cloud Data Centres · Application Software in Cloud-Ready Data Centers This book bridges the gap between academia and the industry, offering essential reading for practitioners in data centers, researchers in the area, and faculty teaching related courses on data centers. The book can be used as a complementary text for traditional courses on Computer Networks, as well as innovative courses on IT Architecture, IT Service Management, IT Operations, and Data Centers. |
| confluent kafka interview questions: Principles of Computer System Design Jerome H. Saltzer, M. Frans Kaashoek, 2009-05-21 Principles of Computer System Design is the first textbook to take a principles-based approach to the computer system design. It identifies, examines, and illustrates fundamental concepts in computer system design that are common across operating systems, networks, database systems, distributed systems, programming languages, software engineering, security, fault tolerance, and architecture.Through carefully analyzed case studies from each of these disciplines, it demonstrates how to apply these concepts to tackle practical system design problems. To support the focus on design, the text identifies and explains abstractions that have proven successful in practice such as remote procedure call, client/service organization, file systems, data integrity, consistency, and authenticated messages. Most computer systems are built using a handful of such abstractions. The text describes how these abstractions are implemented, demonstrates how they are used in different systems, and prepares the reader to apply them in future designs.The book is recommended for junior and senior undergraduate students in Operating Systems, Distributed Systems, Distributed Operating Systems and/or Computer Systems Design courses; and professional computer systems designers. - Concepts of computer system design guided by fundamental principles - Cross-cutting approach that identifies abstractions common to networking, operating systems, transaction systems, distributed systems, architecture, and software engineering - Case studies that make the abstractions real: naming (DNS and the URL); file systems (the UNIX file system); clients and services (NFS); virtualization (virtual machines); scheduling (disk arms); security (TLS) - Numerous pseudocode fragments that provide concrete examples of abstract concepts - Extensive support. The authors and MIT OpenCourseWare provide on-line, free of charge, open educational resources, including additional chapters, course syllabi, board layouts and slides, lecture videos, and an archive of lecture schedules, class assignments, and design projects |
| confluent kafka interview questions: I Heart Logs Jay Kreps, 2014-09-23 Why a book about logs? That’s easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don’t think much about them, this short book shows you why logs are worthy of your attention. Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows you how logs work in distributed systems, and then delivers practical applications of these concepts in a variety of common uses—data integration, enterprise architecture, real-time stream processing, data system design, and abstract computing models. Go ahead and take the plunge with logs; you’re going love them. Learn how logs are used for programmatic access in databases and distributed systems Discover solutions to the huge data integration problem when more data of more varieties meet more systems Understand why logs are at the heart of real-time stream processing Learn the role of a log in the internals of online data systems Explore how Jay Kreps applies these ideas to his own work on data infrastructure systems at LinkedIn |
| confluent kafka interview questions: Sex and Gender Differences in Infection and Treatments for Infectious Diseases Sabra L. Klein, Craig W. Roberts, 2023-09-11 This fully revised and significantly expanded second edition examines sex and gender differences in the immune system's response to bacterial, viral, and parasitic infections. The volume discusses both common and distinct molecular mechanisms that mediate these differences and illustrates how responses to vaccines may differ between the sexes and in pregnant individuals. Special emphasis is placed on the interplay between hormones and the immune system in the pathogenesis of HIV, SARS-CoV-2, influenza, malaria, tuberculosis, and amebiasis. This second edition includes completely rewritten chapters as well as all new contents. This book is intended for researchers in academia and industry as well as clinicians in the fields of microbiology, immunology, and pharmacology. By expanding knowledge in sex and gender medicine as a basis for developing personalized treatment strategies, the book contributes to UN Sustainable Development Goals 3 (health and well-being) and 5 (gender equality). |
| confluent kafka interview questions: Building Micro-Frontends Luca Mezzalira, 2021-11-17 What's the answer to today's increasingly complex web applications? Micro-frontends. Inspired by the microservices model, this approach lets you break interfaces into separate features managed by different teams of developers. With this practical guide, Luca Mezzalira shows software architects, tech leads, and software developers how to build and deliver artifacts atomically rather than use a big bang deployment. You'll learn how micro-frontends enable your team to choose any library or framework. This gives your organization technical flexibility and allows you to hire and retain a broad spectrum of talent. Micro-frontends also support distributed or colocated teams more efficiently. Pick up this book and learn how to get started with this technological breakthrough right away. Explore available frontend development architectures Learn how microservice principles apply to frontend development Understand the four pillars for creating a successful micro-frontend architecture Examine the benefits and pitfalls of existing micro-frontend architectures Learn principles and best practices for creating successful automation strategies Discover patterns for integrating micro-frontend architectures using microservices or a monolith API layer |
| confluent kafka interview questions: Apache Kafka Ernesto Lee, 2021-04-12 Are you looking to build resilient big data services and applications without compromising on the reliability, stability and the performance of your high-performance, low latency system and have heard that Apache Kafka might be your best bet but have no idea how to use it?And are you looking for a comprehensive guide that will show you everything you need to know about Apache Kafka so you can understand just how it is designed for real-time, high speed data processing as well as how to put it to use?If you've answered YES, Let This Book Introduce You To The World Of Using Apache Kafka To Build World-Class, Low Latency, High Throughput Systems That Have The Ability To Handle High-Volume Real Time Data Feeds Just Like Some Of The World's Biggest Tech Systems Like Twitter, Uber, Netflix, LinkedIn And More!Every successful business nowadays revolves around big data and that's why there is quite a number of platforms, technologies and frameworks that have cropped up to support this over the years.One such solution which is proving to be effective and the best is Apache Kafka, an open source software platform specifically designed for high-speed, real-time data processing, as seen in its ability to support driver and passenger matching on Uber for example and its ability to support many real time services on LinkedIn.The fact that you are reading this means you've probably grown curious about Apache Kafka having heard a lot about it and you are wondering what kinds of systems it can be implemented in and how to implement it.Perhaps you are wondering...What exactly does Apache Kafka do that makes so exceptional that major applications like Cisco, Walmart, JPMC, Bank of America, Uber and LinkedIn would use it?Who are the closest competitors and what makes Apache Kafka different?How does Apache Kafka work?How can you use Apache Kafka in building resilient, durable and stable applications and services for your business?If you have these and other related questions about Apache Kafka, this corporate IT training courseware is for you so keep reading, as it will teach you everything you need to understand the inner workings of Apache Kafka like the back of our hand.More precisely, you will learn: -The basics of big data, including the place of such concepts like Spark, Zookeeper, the Kafka framework and how they all relate-An insider look into Kafka framework and Kafka use cases to help you understand real world applications inside out-The inner workings of Apache Kafka, including Zookeeper watches, Zookeeper's role in cluster membership, the responsibilities and election of the controller broker, replication, partition and the bootstrap server-How to code producer configurations and consumer groups-The ins and outs of Kafka data delivery, including delivery semantics, and service goals-How to master Kafka administrative functions, including dynamic configurations, handling partitions, consumer group tools and more-And so much moreEven if this is your first encounter with Apache Kafka as a business, this corporate IT training courseware will leave you feeling confident about your ability to start using it to develop and administer fast and reliable IT systems!What's more - you can download all supporting files from Ernesto.Net along with a docker container that has already been staged to help you complete the activities in the book!Scroll up and click Buy Now With 1-Click or Buy Now to get started! |
| confluent kafka interview questions: The Dynamics of Broadband Markets in Europe Wolter Lemstra, William H. Melody, 2015 First in-depth analysis of broadband developments in Europe, combining qualitative and quantitative analysis, with chapter contributions provided by in-country experts. |
| confluent kafka interview questions: Dreaming Souls Owen Flanagan, 2001-05-17 What, if anything, do dreams tell us about ourselves? What is the relationship between types of sleep and types of dreams? Does dreaming serve any purpose? Or are dreams simply meaningless mental noise--unmusical fingers wandering over the piano keys? With expertise in philosophy, psychology, and neuroscience, Owen Flanagan is uniquely qualified to answer these questions. And in Dreaming Souls he provides both an accessible survey of the latest research on sleep and dreams and a compelling new theory about the nature and function of dreaming. Flanagan argues that while sleep has a clear biological function and adaptive value, dreams are merely side effects, free riders, irrelevant from an evolutionary point of view. But dreams are hardly unimportant. Indeed, Flanagan argues that dreams are self-expressive, the result of our need to find or to create meaning, even when we're sleeping. Rejecting Freud's theory of manifest and latent content--of repressed wishes appearing in disguised form--Flanagan shows how brainstem activity during sleep generates a jumbled profusion of memories, images, thoughts, emotions, and desires, which the cerebral cortex then attempts to shape into a more or less coherent story. Such dream-narratives range from the relatively mundane worries of non REM sleep to the fantastic confabulations of deep REM that resemble psychotic episodes in their strangeness. But however bizarre these narratives may be, they can shed light on our mental life, our well being, and our sense of self. Written with clarity, lively wit, and remarkable insight, Dreaming Souls offers a fascinating new way of apprehending one of the oldest mysteries of mental life. |
| confluent kafka interview questions: Practical Manual of Operative Laparoscopy and Hysteroscopy Ricardo Azziz, Ana A. Murphy, 2012-12-06 In the past decade, the future of gynecologic also arisen. Mastery is imperative. One can not endoscopic surgery has been largely unpredict master these techniques by mimicking what able. Now it is obvious that time has changed other surgeons do, but must understand the gynecology in such a way to make many of the principles of the technological advances. Laser procedures that were commonly done obso physics and properties must be understood lete. At no other time in the history of gyneco and, in addition, optics and television technol logic surgery has such an explosion occurred ogy are critical to performing excellent endo thus changing the face ofthis specialty to such a scopic surgery. great degree. But in addition to solving many Old timers are playing catch-up ball, but it is problems, the past decade has left us with the young that are the leaders and pioneers in many new and novel dilemmas. our field. It is for this reason that this text rep One of the ways in which our field has resents all that is important in endoscopic tremendously evolved is not only have some surgery. It not only is a comprehensive and en procedures become obsolete, but to some cyclopedic dissertation on the subject, but it is degree gynecologic surgeons have themselves written by the young leaders in the field. This is become obsolete. |
| confluent kafka interview questions: Cancer, Stress, and Death Stacey B. Day, 2013-06-29 This book has been well received in many places and in many countries. It was awarded a ranking in the top ten publications on behavioral medicine in the year that it first appeared. When, in 1977, we began to fit the components of Cancer, Stress, and Death together, the established medical view was that each subject repre sented a different discipline, and that to integrate fields so diverse in information content was to seek to achieve a synthesis beyond reasonable limits. Had we been required to concern ourselves with the knowledge of each component in its entirety, this might have been so, but our concern, of course, was to integrate only those items of knowledge in any one field that could bear upon the field of interest of another. Moreover, we were concerned that physi cians and scientists take account of the inner forces that shape motivation and individual behavior, as well as the cultural identity of individuals, and we hoped that the biopsychosocial way in which we believed would gain ground and win support. Now, with need for a second edition, one can hardly conceive of not bringing together diverse contributions in one volume. Such syntheses as we have made clearly confirm that one can arrive at several levels of understanding of human situations through wise integration of biological paradigms within various social, cultural, and psychological parameters-which essentially is a simple way of defining the biopsychosocial way. |
| confluent kafka interview questions: Data Professionals at Work Malathi Mahadevan, 2018-10-11 Enjoy reading interviews with more than two dozen data professionals to see a picture of what it’s like to work in the industry managing and analyzing data, helping you to know what it takes to move from your current expertise into one of the fastest growing areas of technology today. Data is the hottest word of the century, and data professionals are in high demand. You may already be a data professional such as a database administrator or business intelligence analyst. Or you may be one of the many people who want to work as a data professional, and are curious how to get there. Either way, this collection helps you understand how data professionals work, what makes them successful, and what they do to keep up. You’ll find interviews in this book with database administrators, database programmers, data architects, business intelligence professionals, and analytics professionals. Interviewees work across industry sectors ranging from healthcare and banking to finance and transportation and beyond. Each chapter illuminates a successful professional at the top of their game, who shares what helped them get to the top, and what skills and attitudes combine to make them successful in their respective fields. Interviewees in the book include: Mindy Curnutt, Julie Smith, Kenneth Fisher, Andy Leonard, Jes Borland, Kevin Feasel, Ginger Grant, Vicky Harp, Kendra Little, Jason Brimhall, Tim Costello, Andy Mallon, Steph Locke, Jonathan Stewart, Joseph Sack, John Q. Martin, John Morehouse, Kathi Kellenberger, Argenis Fernandez, Kirsten Benzel, Tracy Boggiano, Dave Walden, Matt Gordon, Jimmy May, Drew Furgiuele, Marlon Ribunal, and Joseph Fleming. All of them have been successful in their careers, and share their perspectives on working and succeeding in the field as data and database professionals. What You'll Learn Stand out as an outstanding professional in your area of data work by developing the right set of skills and attitudes that lead to success Avoid common mistakes and pitfalls, and recover from operational failures and bad technology decisions Understand current trends and best practices, and stay out in front as the field evolvesBreak into working with data through database administration, business intelligence, or any of the other career paths represented in this book Manage stress and develop a healthy work-life balance no matter which career path you decide upon Choose a suitable path for yourself from among the different career paths in working with data Who This Book Is For Database administrators and developers, database and business intelligence architects, consultants, and analytic professionals, as well as those intent on moving into one of those career paths. Aspiring data professionals and those in related technical fields who want to make a move toward managing or analyzing data on a full-time basis will find the book useful. Existing data professionals who want to be outstanding and successful at what they do will also appreciate the book's advice and guidance. |
| confluent kafka interview questions: Black on Both Sides C. Riley Snorton, 2017-12-05 Winner of the John Boswell Prize from the American Historical Association 2018 Winner of the William Sanders Scarborough Prize from the Modern Language Association 2018 Winner of an American Library Association Stonewall Honor 2018 Winner of Lambda Literary Award for Transgender Nonfiction 2018 Winner of the Sylvia Rivera Award in Transgender Studies from the Center for Lesbian and Gay Studies The story of Christine Jorgensen, America’s first prominent transsexual, famously narrated trans embodiment in the postwar era. Her celebrity, however, has obscured other mid-century trans narratives—ones lived by African Americans such as Lucy Hicks Anderson and James McHarris. Their erasure from trans history masks the profound ways race has figured prominently in the construction and representation of transgender subjects. In Black on Both Sides, C. Riley Snorton identifies multiple intersections between blackness and transness from the mid-nineteenth century to present-day anti-black and anti-trans legislation and violence. Drawing on a deep and varied archive of materials—early sexological texts, fugitive slave narratives, Afro-modernist literature, sensationalist journalism, Hollywood films—Snorton attends to how slavery and the production of racialized gender provided the foundations for an understanding of gender as mutable. In tracing the twinned genealogies of blackness and transness, Snorton follows multiple trajectories, from the medical experiments conducted on enslaved black women by J. Marion Sims, the “father of American gynecology,” to the negation of blackness that makes transnormativity possible. Revealing instances of personal sovereignty among blacks living in the antebellum North that were mapped in terms of “cross dressing” and canonical black literary works that express black men’s access to the “female within,” Black on Both Sides concludes with a reading of the fate of Phillip DeVine, who was murdered alongside Brandon Teena in 1993, a fact omitted from the film Boys Don’t Cry out of narrative convenience. Reconstructing these theoretical and historical trajectories furthers our imaginative capacities to conceive more livable black and trans worlds. |
| confluent kafka interview questions: Web Scalability for Startup Engineers Artur Ejsmont, 2015-07-03 This invaluable roadmap for startup engineers reveals how to successfully handle web application scalability challenges to meet increasing product and traffic demands. Web Scalability for Startup Engineers shows engineers working at startups and small companies how to plan and implement a comprehensive scalability strategy. It presents broad and holistic view of infrastructure and architecture of a scalable web application. Successful startups often face the challenge of scalability, and the core concepts driving a scalable architecture are language and platform agnostic. The book covers scalability of HTTP-based systems (websites, REST APIs, SaaS, and mobile application backends), starting with a high-level perspective before taking a deep dive into common challenges and issues. This approach builds a holistic view of the problem, helping you see the big picture, and then introduces different technologies and best practices for solving the problem at hand. The book is enriched with the author's real-world experience and expert advice, saving you precious time and effort by learning from others' mistakes and successes. Language-agnostic approach addresses universally challenging concepts in Web development/scalability—does not require knowledge of a particular language Fills the gap for engineers in startups and smaller companies who have limited means for getting to the next level in terms of accomplishing scalability Strategies presented help to decrease time to market and increase the efficiency of web applications |
| confluent kafka interview questions: Time and History in Deleuze and Serres Bernd Herzogenrath, 2011-12-15 For Gilles Deleuze, time is 'out of joint'. For Michel Serres, it is 'a crumpled handkerchief'. In both of these concepts, explicit references are made to the non-linear dynamics of Chaos and Complexity theory, as well as the New Sciences. The groundbreaking work of these key thinkers has the potential to instigate a radical break from traditional existentialist theories of time and history, affording us the opportunity to view history and historical events as a complex, non-linear system of feedback-loops, couplings and interfaces. In this collection, the first to address the comparative historiographies of Deleuze and Serres, twelve leading experts - including William Connolly, Eugene Holland, Claire Colebrook and Elizabeth Grosz - examine these alternative concepts of time and history, exposing critical arguments in this important and emerging field of research. |
| confluent kafka interview questions: Cloud Native Infrastructure with Azure Nishant Singh, Michael Kehoe, 2022-02-09 The cloud is becoming the de facto home for companies ranging from enterprises to startups. Moving to the cloud means moving your applications from monolith to microservices. But once you do, running and maintaining these services brings its own level of complexity. The answer? Modularity, deployability, observability, and self-healing capacity through cloud native development. With this practical book, Nishant Singh and Michael Kehoe show you how to build a true cloud native infrastructure using Microsoft Azure or another cloud computing solution by following guidelines from the Cloud Native Computing Foundation (CNCF). DevOps and site reliability engineers will learn how adapting applications to cloud native early in the design phase helps you fully utilize the elasticity and distributed nature of the cloud. This book helps you explore: Why go cloud native? How to use infrastructure as code What it takes to containerize an application Why and how Kubernetes is the grand orchestrator How to create a Kubernetes cluster on Azure How observability complements monitoring How to use service discovery and a service mesh to find new territories How networking and policy management serve as gatekeepers How distributed databases and storage work |
| confluent kafka interview questions: Apache Kafka Cookbook Saurabh Minni, 2015 Over 50 hands-on recipes to efficiently administer, maintain, and use your Apache Kafka installationAbout This Book- Quickly configure and manage your Kafka cluster- Learn how to use the Apache Kafka cluster and connect it with tools for big data processing- A practical guide to monitor your Apache Kafka installationWho This Book Is ForIf you are a programmer or big data engineer using or planning to use Apache Kafka, then this book is for you. This book has several recipes which will teach you how to effectively use Apache Kafka. You need to have some basic knowledge of Java. If you don't know big data tools, this would be your stepping stone for learning how to consume the data in these kind of systems.What You Will Learn- Learn how to configure Kafka brokers for better efficiency- Explore how to configure producers and consumers for optimal performance- Set up tools for maintaining and operating Apache Kafka- Create producers and consumers for Apache Kafka in Java- Understand how Apache Kafka can be used by several third party system for big data processing, such as Apache Storm, Apache Spark, Hadoop, and more- Monitor Apache Kafka using tools like graphite and GangliaIn DetailThis book will give you details about how to manage and administer your Apache Kafka Cluster.We will cover topics like how to configure your broker, producer, and consumer for maximum efficiency for your situation. Also, you will learn how to maintain and administer your cluster for fault tolerance. We will also explore tools provided with Apache Kafka to do regular maintenance operations. We shall also look at how to easily integrate Apache Kafka with big data tools like Hadoop, Apache Spark, Apache Storm, and Elasticsearch.Style and approachEasy-to-follow, step-by-step recipes explaining from start to finish how to accomplish real-world tasks. |
| confluent kafka interview questions: Walter Kohn Matthias Scheffler, Peter Weinberger, 2011-06-28 This is not a science book, nor even a book about science, although most of the contributors are scientists. It is a book of personal stories about Walter Kohn, a theoretical physicist and winner of half of the 1998 Nobel Prize in Chemistry. Walter Kohn originated and/or refined a number of very important theoretical approaches and concepts in solid-state physics. He is known in particular for Density-Functional Theory. This book represents a kind of oral history about him, gathered - in anticipation of his 80th birthday - from former students, collaborators, fellow-scientists, and friends. |
| confluent kafka interview questions: Desperately Seeking Europe Susan Stern, Elisabeth Seligmann, 2003 Europe? What is it? A land mass (plus a few islands) which stretches from Portugal to the Russian Urals? Or at least up to the Turkish Bosporus? Or (still) just to the German border? A continent with a common history? A common language, culture, religion? A common anything? This book is collection of original contributions solicited by the Alfred Herrrhausen Society for International Dialogue. The Herrhausen Society was set up in 1992 by Deutsche Bank and provides a forum for examining socially relevant issues, identifying the problems and discussing their possible solutions. Authors include: Josef Ackermann, Ulrich Beck, Matthias Berninger, Ralf Dahrendorf, Patrik Cox, Ismael Cem, Laszlo Foldenyi; Rabbi David J.Goldberg, Adolf Muschg, Chenjerai Hove, Sergei Karaganow, Tommy Koh, Noelle Lenoir; Ma Canrong; Cees Noteboom; Joseph Nye; Yasar Huri Ozturk; Jiri Pehe; Richard Perle; Andrej Plesu; Michael Portillo; Avi Primor; Gunther Verheugen; Ilija Trojanow; Slavenka Drakulic; Janusz Reiter; Peter Ruzicka; Michael Walzer; Jean-Claude Trichet; Friedrich Kardinal Wetter; Ernst-Ludwig Winnacker; Vaira Vike-Freiberga; William Wallace; Robert Weinberg; Valery Giscard d'Estaing; Romano Prodi; Jacques Le Goff; Throw out the word 'Europe' to most members of the European Union, and they will assume you are talking about their exclusive club of fifteen-about-to-become-twenty-five-plus countries. Most members of the EU, that is, but not all. Someone from the U.K. will likely think you are referring to the countries across the Channel - some of which may belong to the Union, some not, but my goodness, what's the difference? Europe - someone from a wannabe EU country, or even an about-to-be one, especially from a country situated in middle, or central, or eastern - uh - Europe? - will hardly think of Europe as synonymous with the European Union.After all, they too are Europeans, even though they don't belong to the EU. Or are they? The rest of the world - the Americas, Africa, Asia, Australasia - thinks they are, it's mainly EU members who don't. Indeed, it's the rest of the world which provides a European identity to the people from the bits of Europe beyond the EU (Michael Portillo). Europe - for the Norwegians or the Swiss, the question doesn't even present itself. They know they're Europeans, and so, funnily enough, do the bona-fide members of the European Union. Desperately Seeking Europe is a roadmap which contains 36 contributions from international politicians, sociologists, economists and renowned writers, all of whom have their own opinions on what Europe is, was, will be or should be - as the case may be. The book presents a mosaic of provocative views, in some cases at odds with each other, in others, surprisingly similar, but often for quite different reasons. A fascinating read! |
| confluent kafka interview questions: ActiveMQ in Action Dejan Bosanac, Bruce Snyder, Rob Davies, 2011-03-30 Applications in enterprises need to communicate, most commonly done by messaging. Apache ActiveMQ is an open-source implementation of the Java Message Service (JMS), which provides messaging in Java applications. ActiveMQ in Action is a thorough, practical guide to implementing message-oriented systems using ActiveMQ and Java. Co-authored by one of the leading ActiveMQ developers, Bruce Snyder, the book starts with the anatomy of a core Java message, then moves quickly through fundamentals including data persistence, authentication and authorization. Later chapters cover advanced features such as configuration and performance tuning, illustrating each concept with a running real-world stock portfolio application. Readers will learn to integrate ActiveMQ with Apache Geronimo and JBoss, and tie into both Java and non-Java technologies including AJAX, .NET, C++, Ruby, and the Spring framework. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. |
| confluent kafka interview questions: Cracking the PM Interview Gayle Laakmann McDowell, Jackie Bavaro, 2013 How many pizzas are delivered in Manhattan? How do you design an alarm clock for the blind? What is your favorite piece of software and why? How would you launch a video rental service in India? This book will teach you how to answer these questions and more. Cracking the PM Interview is a comprehensive book about landing a product management role in a startup or bigger tech company. Learn how the ambiguously-named PM (product manager / program manager) role varies across companies, what experience you need, how to make your existing experience translate, what a great PM resume and cover letter look like, and finally, how to master the interview: estimation questions, behavioral questions, case questions, product questions, technical questions, and the super important pitch. |
| confluent kafka interview questions: Input Modeling with Phase-Type Distributions and Markov Models Peter Buchholz, Jan Kriege, Iryna Felko, 2014-05-20 Containing a summary of several recent results on Markov-based input modeling in a coherent notation, this book introduces and compares algorithms for parameter fitting and gives an overview of available software tools in the area. Due to progress made in recent years with respect to new algorithms to generate PH distributions and Markovian arrival processes from measured data, the models outlined are useful alternatives to other distributions or stochastic processes used for input modeling. Graduate students and researchers in applied probability, operations research and computer science along with practitioners using simulation or analytical models for performance analysis and capacity planning will find the unified notation and up-to-date results presented useful. Input modeling is the key step in model based system analysis to adequately describe the load of a system using stochastic models. The goal of input modeling is to find a stochastic model to describe a sequence of measurements from a real system to model for example the inter-arrival times of packets in a computer network or failure times of components in a manufacturing plant. Typical application areas are performance and dependability analysis of computer systems, communication networks, logistics or manufacturing systems but also the analysis of biological or chemical reaction networks and similar problems. Often the measured values have a high variability and are correlated. It’s been known for a long time that Markov based models like phase type distributions or Markovian arrival processes are very general and allow one to capture even complex behaviors. However, the parameterization of these models results often in a complex and non-linear optimization problem. Only recently, several new results about the modeling capabilities of Markov based models and algorithms to fit the parameters of those models have been published. |
Confluent Investor Presentation Q1'25
end of this presentation for a reconciliation of our non-GAAP financial measures to the most directly comparable GAAP financial measures. Confluent Cloud revenue includes revenue …
Confluent Earnings Presentation Q4 2023
22 Confluent Cloud Revenue $348.8M +65% YoY Total Revenue $777.0M +33% YoY Non-GAAP Operating Margin (7.4%) +23 pts YoY Fiscal Year 2023 Results Note: Financials are for …
Form 10-K for Confluent INC filed 02/18/2025
t ab l e of c on te n ts. u n i t e d s t a t e s. s e c u r i t i e s a n d e x c h a n g e c o m m i s s i o n. wa s h i n g t o n , d c 20549
Confluent Earnings Report
What Confluent Delivers With a complete data streaming platform (DSP) from Confluent, organizations can build a shared source of real-time truth for sophisticated model building and …
Form 10-Q for Confluent INC filed 04/30/2025
Symbol (s ) Name of e ac h e xc hange on whi c h r e gi s te r e d. C l a s s A C om m on St oc k, pa r va l ue $0.00001 pe r s ha re; C FL T. T he
Confluent, Inc.
Confluent, Inc. (E xac t n ame of re gi s tr an t as s p e c i fi e d i n i ts c h ar te r ) D e l aw are 47-1824387 (State or othe r jur i s di c ti on of i nc or por ati on or or gani z ati on) (I .R.S. E mpl …
Annual Report 2023 - Confluent, Inc.
CLO@confluent.io. On or about April 24, 2024, we expect to mail to our stockholders a Notice of Internet Availability of Proxy Materials (Notice) containing instructions on how to access the …
436166 017 BMK WEB - Confluent, Inc.
(Confluent). The Annual Meeting will be held virtually, via live webcast at www.virtualshareholdermeeting.com/ CFLT2023 on Thursday, June 1, 2023 at 9:00 a.m., …
FORM 4 SEC Form 4 - Confluent, Inc.
Mar 6, 2024 · Confluent, Inc. [ CFLT] 5. Relationship of Reporting Person(s) to Issuer (Check all applicable) Director 10% Owner. X. Officer (give title. below) Other (specify below) …
Q4 and Fiscal Year 2022 Supplemental Financial Information
Confluent, Inc. Condensed Consolidated Statements of Cash Flows - Fiscal Years (in thousands) (unaudited) Year Ended December 31, 2020 2021 2022 CASH FLOWS FROM OPERATING …
Confluent Investor Presentation Q1'25
end of this presentation for a reconciliation of our non-GAAP financial measures to the most directly comparable GAAP financial measures. Confluent Cloud revenue includes revenue …
Confluent Earnings Presentation Q4 2023
22 Confluent Cloud Revenue $348.8M +65% YoY Total Revenue $777.0M +33% YoY Non-GAAP Operating Margin (7.4%) +23 pts YoY Fiscal Year 2023 Results Note: Financials are for …
Form 10-K for Confluent INC filed 02/18/2025
t ab l e of c on te n ts. u n i t e d s t a t e s. s e c u r i t i e s a n d e x c h a n g e c o m m i s s i o n. wa s h i n g t o n , d c 20549
Confluent Earnings Report
What Confluent Delivers With a complete data streaming platform (DSP) from Confluent, organizations can build a shared source of real-time truth for sophisticated model building and …
Form 10-Q for Confluent INC filed 04/30/2025
Symbol (s ) Name of e ac h e xc hange on whi c h r e gi s te r e d. C l a s s A C om m on St oc k, pa r va l ue $0.00001 pe r s ha re; C FL T. T he
Confluent, Inc.
Confluent, Inc. (E xac t n ame of re gi s tr an t as s p e c i fi e d i n i ts c h ar te r ) D e l aw are 47-1824387 (State or othe r jur i s di c ti on of i nc or por ati on or or gani z ati on) (I .R.S. E mpl …
Annual Report 2023 - Confluent, Inc.
CLO@confluent.io. On or about April 24, 2024, we expect to mail to our stockholders a Notice of Internet Availability of Proxy Materials (Notice) containing instructions on how to access the …
436166 017 BMK WEB - Confluent, Inc.
(Confluent). The Annual Meeting will be held virtually, via live webcast at www.virtualshareholdermeeting.com/ CFLT2023 on Thursday, June 1, 2023 at 9:00 a.m., …
FORM 4 SEC Form 4 - Confluent, Inc.
Mar 6, 2024 · Confluent, Inc. [ CFLT] 5. Relationship of Reporting Person(s) to Issuer (Check all applicable) Director 10% Owner. X. Officer (give title. below) Other (specify below) …
Q4 and Fiscal Year 2022 Supplemental Financial Information
Confluent, Inc. Condensed Consolidated Statements of Cash Flows - Fiscal Years (in thousands) (unaudited) Year Ended December 31, 2020 2021 2022 CASH FLOWS FROM OPERATING …
