| data flow architecture diagram: Web Development with MongoDB and Node - Third Edition Mithun Satheesh, Bruno Joseph D'mello, Jason Krol, 2017-09-28 Use the two popular web development stacks, Node.js and MongoDB, to build full-featured web applicationsAbout This Book* Learn the new ECMAScript along with Node 8 and MongoDB to make your application more effective.* Get the up-to-date information required to launch your first application prototype using the latest versions of Node.js and MongoDB.* A practical guide with clear instructions to designing and developing a complete web application from start to finish using trending frameworks such as angular4 and hapiWho This Book Is ForThe book is designed for JavaScript developers of any skill level who want to get up-and-running using Node.js and MongoDB to build full-featured web applications. A basic understanding of JavaScript and HTML is the only prerequisite for this book.What You Will Learn* Work with Node.js building blocks* Write and configure a web server using Node.js powered by the Express.js framework* Build dynamic HTML pages using the Handlebars template engine* Persist application data using MongoDB and Mongoose ODM* Test your code using automated testing tools such as the Mocha framework* Automate test cases using Gulp* Reduce your web development time by integrating third-party tools for web interaction.* Deploy a development environment to the cloud using services such as Heroku, Amazon Web Services, and Microsoft Azure* Explore single-page application frameworks to take your web applications to the next levelIn DetailNode.js builds fast, scalable network applications while MongoDB is the perfect fit as a high-performance, open source NoSQL database solution. The combination of these two technologies offers high performance and scalability and helps in building fast, scalable network applications. Together they provide the power for manage any form of data as well as speed of delivery.This book will help you to get these two technologies working together to build web applications quickly and easily, with effortless deployment to the cloud. You will also learn about angular 4, which consumes pure JSON APOIs from a hapi server.The book begins by setting up your development environment, running you through the steps necessary to get the main application server up-and-running. Then you will see how to use Node.js to connect to a MongoDB database and perform data manipulations.From here on, the book will take you through integration with third-party tools to interact with web apps. You will see how to use controllers and view models to generate reusable code that will reduce development time. Toward the end, the book supplies tests to properly execute your code and take your skills to the next level with the most popular frameworks for developing web applications.By the end of the book, you will have a running web application developed with MongoDB, Node.js, and some of the most powerful and popular frameworks.Style and approachA practical guide with clear instructions to designing and developing a complete web application from start to finish |
| data flow architecture diagram: Flow Architectures James Urquhart, 2021-01-06 Software development today is embracing events and streaming data, which optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs. This phenomenon, called flow, consists of patterns and standards that determine which activity and related data is communicated between parties over the internet. This book explores critical implications of that evolution: What happens when events and data streams help you discover new activity sources to enhance existing businesses or drive new markets? What technologies and architectural patterns can position your company for opportunities enabled by flow? James Urquhart, global field CTO at VMware, guides enterprise architects, software developers, and product managers through the process. Learn the benefits of flow dynamics when businesses, governments, and other institutions integrate via events and data streams Understand the value chain for flow integration through Wardley mapping visualization and promise theory modeling Walk through basic concepts behind today's event-driven systems marketplace Learn how today's integration patterns will influence the real-time events flow in the future Explore why companies should architect and build software today to take advantage of flow in coming years |
| data flow architecture diagram: Architectural Diagrams Mi Young Pyo, 2015 The trendsetting architect Rem Koolhaas has carried it out to perfection, whereas the next generation of international stars refined it even more, giving us the unconventional presentation of designs and ideas in the form of diagrams. This method of presentation is easy to understand when dealing with the client and can be communicated internationally, beyond language and cultural barriers - a product of our globalised world. However, diagrams are now much more than explanations and form their own discipline in creative professions connected to design and construction. What looks simple is in fact a complex matter. This title in the series Construction and Design Manual is in its second edition and assembles 384 pages of diagrams by avant-garde architects and designers who specialise in public space, landscape architecture and urban planning. |
| data flow architecture diagram: Structured Design Edward Yourdon, Larry L. Constantine, 1979 Presents system and program design as a disciplined science. |
| data flow architecture diagram: Requirements Analysis David C. Hay, 2003 Thousands of software projects are doomed because they're based on a faulty understanding of the business problem that needs to be solved. Requirements Analysis: From Business Views to Architectureis the solution. David C. Hay brings together the world's best requirements analysis practices from two key viewpoints: system development life cycle and architectural framework. Hay teaches you the complete process of defining an architecture - from a full understanding of what business people need to the creation of a complete enterprise architecture. |
| data flow architecture diagram: Software Architectures Manfred Nagl, Zusammenfassung: This textbook concentrates on processes, activities and results related to software architectures. It describes the separation of architecture artefacts corresponding to their nature, their logical or their modeling level on one hand and at the same time emphasizes their integration based on their mutual relations. Design or development processes demand for integration, as different artifacts must be elaborated, which are mutually dependent and need to be in a consistent form. The book is structured in four parts. The introductory Part I deals with the relevance of architectures, the central role of the design subprocess both in development or maintenance, and the importance of the decisions and artefacts in the overall result. Another topic is the spectrum of views an architecture language has to offer, and that there are different architectures to be regarded, from abstract and static to detailed, technical, and specific. Part II then discusses important topics on the architecture level. It deals with adaptability especially for embedded systems, with integrating styles/ pattern notations, with different reuse forms and how to find them, with the role of architectures for integrating different existing systems, and with reverse and reengineering of legacy systems. Next, Part III covers architecture modeling and its relation to surrounding activities, as well as architectures to surrounding other results. The single chapters are on transformation between requirements and architectures, architectures and programming, architectures and project management and organization, as well as architectures and their relations to quality assurance or documentation. Eventually, Part IV summarizes the main messages and presents open problems, both for every single chapter and across chapters. Every chapter focuses on a specific problem it addresses, a question it answers, the attention it demands, a message it conveys, and further open questions it raises. The chapters are mostly independent, which implies a certain redundancy, yet it allows lecturers (and their students) to either use the book as the basis of teaching software architecture or design, or to just pick those aspects that need special attention in a more advanced course |
| data flow architecture diagram: Software Architecture and Design Illuminated Kai Qian, 2010 Computer Architecture/Software Engineering |
| data flow architecture diagram: Data Mesh Zhamak Dehghani, 2022-03-08 Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh. |
| data flow architecture diagram: The Art of Software Architecture Stephen T. Albin, 2003-03-20 This innovative book uncovers all the steps readers should follow in order to build successful software and systems With the help of numerous examples, Albin clearly shows how to incorporate Java, XML, SOAP, ebXML, and BizTalk when designing true distributed business systems Teaches how to easily integrate design patterns into software design Documents all architectures in UML and presents code in either Java or C++ |
| data flow architecture diagram: Clean Architecture Robert C. Martin, 2017-09-12 Practical Software Architecture Solutions from the Legendary Robert C. Martin (“Uncle Bob”) By applying universal rules of software architecture, you can dramatically improve developer productivity throughout the life of any software system. Now, building upon the success of his best-selling books Clean Code and The Clean Coder, legendary software craftsman Robert C. Martin (“Uncle Bob”) reveals those rules and helps you apply them. Martin’s Clean Architecture doesn’t merely present options. Drawing on over a half-century of experience in software environments of every imaginable type, Martin tells you what choices to make and why they are critical to your success. As you’ve come to expect from Uncle Bob, this book is packed with direct, no-nonsense solutions for the real challenges you’ll face–the ones that will make or break your projects. Learn what software architects need to achieve–and core disciplines and practices for achieving it Master essential software design principles for addressing function, component separation, and data management See how programming paradigms impose discipline by restricting what developers can do Understand what’s critically important and what’s merely a “detail” Implement optimal, high-level structures for web, database, thick-client, console, and embedded applications Define appropriate boundaries and layers, and organize components and services See why designs and architectures go wrong, and how to prevent (or fix) these failures Clean Architecture is essential reading for every current or aspiring software architect, systems analyst, system designer, and software manager–and for every programmer who must execute someone else’s designs. Register your product for convenient access to downloads, updates, and/or corrections as they become available. |
| data flow architecture diagram: Data Flow Computing John A. Sharp, 1992 There is an increasing interest in data flow programming techniques. This interest is motivated in part by the rapid advances in technology (and the need for distributed processing techniques), in part by a desire for faster throughput by applying parallel processing techniques, and in part by search for a programming tool that is closer to the problem solving methods that people naturally adopts rather than current programming languages. This book contains a selection of chapters by researchers on various aspects of the data flow approach in computing. Topics covered include: comparisons of various data flow machine designs, data flow architectures, intentional programming and operator nets, and the relationship between data flow models and modern structured design techniques, among others. The book also includes a brief introduction to the data flow approach, a bibliography, and reviews of where research into data flow might be heading. |
| data flow architecture diagram: Advanced Multimedia and Ubiquitous Engineering James J. (Jong Hyuk) Park, Shu-Ching Chen, Kim-Kwang Raymond Choo, 2017-05-11 This book presents the proceedings of the 11th International Conference on Multimedia and Ubiquitous Engineering (MUE2017) and the 12th International Conference on Future Information Technology (FutureTech2017), held in Seoul, South Korea on May 22–24, 2017. These two conferences provided an opportunity for academic and industrial professionals to discuss recent advances in the area of multimedia and ubiquitous environments including models and systems, new directions, and novel applications associated with the utilization and acceptance of ubiquitous computing devices and systems. The resulting papers address the latest technological innovations in the fields of digital convergence, multimedia convergence, intelligent applications, embedded systems, mobile and wireless communications, bio-inspired computing, grid and cloud computing, semantic web, user experience, HCI, and security and trust computing. The book offers a valuable resource for a broad readership, including students, academic researchers, and professionals. Further, it provides an overview of current research and a “snapshot” for those new to the field. |
| data flow architecture diagram: Documenting Software Architectures Paul Clements, 2003 Architecture is crucial to the success of any large software system -- but even a superb architecture will fail if it isn't communicated well. Now, there's a language- and notation-independent guide to capturing architecture so it can be used successfully by every analyst, software designer, and developer. The authors review the diverse goals and uses of software architecture documentation, providing documentation strategies for several common scenarios. They identify the basic unit of software architecture documentation: the viewtype, which specifies the type of information to be provided in an architectural view. For each viewtype -- Modules, Component-and-Connectors, and Allocation -- they offer detailed guidance on documenting what really matters. Next, they demonstrate how to package architecture documentation in coherent, usable form: augmenting architectural views with documentation of interfaces and behavior; accounting for architectural variability and dynamic systems; and more. |
| data flow architecture diagram: PCI Express System Architecture Ravi Budruk, Don Anderson, Tom Shanley, 2004 ••PCI EXPRESS is considered to be the most general purpose bus so it should appeal to a wide audience in this arena.•Today's buses are becoming more specialized to meet the needs of the particular system applications, building the need for this book.•Mindshare and their only competitor in this space, Solari, team up in this new book. |
| data flow architecture diagram: Parallel Processing and Parallel Algorithms Seyed H Roosta, 2012-12-06 Motivation It is now possible to build powerful single-processor and multiprocessor systems and use them efficiently for data processing, which has seen an explosive ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. The first step is to understand the nature of computations in the specific application domain. |
| data flow architecture diagram: Encyclopedia of Software Engineering Three-Volume Set (Print) Phillip A. Laplante, 2010-11-22 Software engineering requires specialized knowledge of a broad spectrum of topics, including the construction of software and the platforms, applications, and environments in which the software operates as well as an understanding of the people who build and use the software. Offering an authoritative perspective, the two volumes of the Encyclopedia of Software Engineering cover the entire multidisciplinary scope of this important field. More than 200 expert contributors and reviewers from industry and academia across 21 countries provide easy-to-read entries that cover software requirements, design, construction, testing, maintenance, configuration management, quality control, and software engineering management tools and methods. Editor Phillip A. Laplante uses the most universally recognized definition of the areas of relevance to software engineering, the Software Engineering Body of Knowledge (SWEBOK®), as a template for organizing the material. Also available in an electronic format, this encyclopedia supplies software engineering students, IT professionals, researchers, managers, and scholars with unrivaled coverage of the topics that encompass this ever-changing field. Also Available Online This Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including: Citation tracking and alerts Active reference linking Saved searches and marked lists HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail) e-reference@taylorandfrancis.com International: (Tel) +44 (0) 20 7017 6062; (E-mail) online.sales@tandf.co.uk |
| data flow architecture diagram: Computer Security and the Internet Paul C. van Oorschot, 2020-04-04 This book provides a concise yet comprehensive overview of computer and Internet security, suitable for a one-term introductory course for junior/senior undergrad or first-year graduate students. It is also suitable for self-study by anyone seeking a solid footing in security – including software developers and computing professionals, technical managers and government staff. An overriding focus is on brevity, without sacrificing breadth of core topics or technical detail within them. The aim is to enable a broad understanding in roughly 350 pages. Further prioritization is supported by designating as optional selected content within this. Fundamental academic concepts are reinforced by specifics and examples, and related to applied problems and real-world incidents. The first chapter provides a gentle overview and 20 design principles for security. The ten chapters that follow provide a framework for understanding computer and Internet security. They regularly refer back to the principles, with supporting examples. These principles are the conceptual counterparts of security-related error patterns that have been recurring in software and system designs for over 50 years. The book is “elementary” in that it assumes no background in security, but unlike “soft” high-level texts it does not avoid low-level details, instead it selectively dives into fine points for exemplary topics to concretely illustrate concepts and principles. The book is rigorous in the sense of being technically sound, but avoids both mathematical proofs and lengthy source-code examples that typically make books inaccessible to general audiences. Knowledge of elementary operating system and networking concepts is helpful, but review sections summarize the essential background. For graduate students, inline exercises and supplemental references provided in per-chapter endnotes provide a bridge to further topics and a springboard to the research literature; for those in industry and government, pointers are provided to helpful surveys and relevant standards, e.g., documents from the Internet Engineering Task Force (IETF), and the U.S. National Institute of Standards and Technology. |
| data flow architecture diagram: Stepping Through Cybersecurity Risk Management Jennifer L. Bayuk, 2024-03-26 Stepping Through Cybersecurity Risk Management Authoritative resource delivering the professional practice of cybersecurity from the perspective of enterprise governance and risk management. Stepping Through Cybersecurity Risk Management covers the professional practice of cybersecurity from the perspective of enterprise governance and risk management. It describes the state of the art in cybersecurity risk identification, classification, measurement, remediation, monitoring and reporting. It includes industry standard techniques for examining cybersecurity threat actors, cybersecurity attacks in the context of cybersecurity-related events, technology controls, cybersecurity measures and metrics, cybersecurity issue tracking and analysis, and risk and control assessments. The text provides precise definitions for information relevant to cybersecurity management decisions and recommendations for collecting and consolidating that information in the service of enterprise risk management. The objective is to enable the reader to recognize, understand, and apply risk-relevant information to the analysis, evaluation, and mitigation of cybersecurity risk. A well-rounded resource, the text describes both reports and studies that improve cybersecurity decision support. Composed of 10 chapters, the author provides learning objectives, exercises and quiz questions per chapter in an appendix, with quiz answers and exercise grading criteria available to professors. Written by a highly qualified professional with significant experience in the field, Stepping Through Cybersecurity Risk Management includes information on: Threat actors and networks, attack vectors, event sources, security operations, and CISO risk evaluation criteria with respect to this activity Control process, policy, standard, procedures, automation, and guidelines, along with risk and control self assessment and compliance with regulatory standards Cybersecurity measures and metrics, and corresponding key risk indicators The role of humans in security, including the “three lines of defense” approach, auditing, and overall human risk management Risk appetite, tolerance, and categories, and analysis of alternative security approaches via reports and studies Providing comprehensive coverage on the topic of cybersecurity through the unique lens of perspective of enterprise governance and risk management, Stepping Through Cybersecurity Risk Management is an essential resource for professionals engaged in compliance with diverse business risk appetites, as well as regulatory requirements such as FFIEC, HIIPAA, and GDPR, as well as a comprehensive primer for those new to the field. A complimentary forward by Professor Gene Spafford explains why “This book will be helpful to the newcomer as well as to the hierophants in the C-suite. The newcomer can read this to understand general principles and terms. The C-suite occupants can use the material as a guide to check that their understanding encompasses all it should.” |
| data flow architecture diagram: Security Architecture for Hybrid Cloud Mark Buckwell, Stefaan Van daele, Carsten Horst, 2024-07-25 As the transformation to hybrid multicloud accelerates, businesses require a structured approach to securing their workloads. Adopting zero trust principles demands a systematic set of practices to deliver secure solutions. Regulated businesses, in particular, demand rigor in the architectural process to ensure the effectiveness of security controls and continued protection. This book provides the first comprehensive method for hybrid multicloud security, integrating proven architectural techniques to deliver a comprehensive end-to-end security method with compliance, threat modeling, and zero trust practices. This method ensures repeatability and consistency in the development of secure solution architectures. Architects will learn how to effectively identify threats and implement countermeasures through a combination of techniques, work products, and a demonstrative case study to reinforce learning. You'll examine: The importance of developing a solution architecture that integrates security for clear communication Roles that security architects perform and how the techniques relate to nonsecurity subject matter experts How security solution architecture is related to design thinking, enterprise security architecture, and engineering How architects can integrate security into a solution architecture for applications and infrastructure using a consistent end-to-end set of practices How to apply architectural thinking to the development of new security solutions About the authors Mark Buckwell is a cloud security architect at IBM with 30 years of information security experience. Carsten Horst with more than 20 years of experience in Cybersecurity is a certified security architect and Associate Partner at IBM. Stefaan Van daele has 25 years experience in Cybersecurity and is a Level 3 certified security architect at IBM. |
| data flow architecture diagram: ITS Architecture: pts. 1-3.] Logical architecture , 1996 |
| data flow architecture diagram: Improving Complex Systems Today Daniel D. Frey, Shuichi Fukuda, Georg Rock, 2011-07-09 As the main theme of Improving Complex Systems Today implies, this book is intended to provide readers with a new perspective on concurrent engineering from the standpoint of systems engineering. It can serve as a versatile tool to help readers to navigate the ever-changing state of this particular field. The primary focus of concurrent engineering was, at first, on bringing downstream information as far upstream as possible by introducing parallel processing in order to reduce time to market and to prevent errors at a later stage which would sometimes cause irrevocable damage. Up to now, numerous new concepts, methodologies and tools have been developed, but over concurrent engineering’s 20-year history the situation has changed extensively. Now, industry has to work in the global marketplace and to cope with diversifying requirements and increasing complexities. Such globalization and diversification necessitate collaboration across different fields and across national boundaries. Thus, the new concurrent engineering calls for a systems approach to gain global market competitiveness. Improving Complex Systems Today provides a new insight into concurrent engineering today. |
| data flow architecture diagram: Agile Data Warehousing for the Enterprise Ralph Hughes, 2015-09-19 Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: - Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. - Data engineering receives two new hyper modeling techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. - Quality assurance advances with not only a stereoscopic top-down and bottom-up planning method, but also the incorporation of the latest in automated test engines. Use this step-by-step guide to deepen your own application development skills through self-study, show your teammates the world's fastest and most reliable techniques for creating business intelligence systems, or ensure that the IT department working for you is building your next decision support system the right way. - Learn how to quickly define scope and architecture before programming starts - Includes techniques of process and data engineering that enable iterative and incremental delivery - Demonstrates how to plan and execute quality assurance plans and includes a guide to continuous integration and automated regression testing - Presents program management strategies for coordinating multiple agile data mart projects so that over time an enterprise data warehouse emerges - Use the provided 120-day road map to establish a robust, agile data warehousing program |
| data flow architecture diagram: Survey of Advanced Microprocessors Andrew M. Veronis, 2012-12-06 Microprocessors have come a long way since their conception. They have become formidable processing tools, and we encounter them in almost every part of our daily activities, from the kitchen with its microwave oven to the cockpit of a sophisticated aircraft. The purposes of this book are to walk through the current microprocessor technology and briefly to describe some of the most advanced microprocessors available. The book is a survey of ad vanced microprocessors, aimed particularly at the engineering manager rather than the design engineer. Chapter One outlines the history of microprocessors and describes some terminology used in computer architecture. Chapter Two discusses advanced computer concepts, such as data and data types, addressing modes, pipe lining, and cache memory. Chapter Three .describes new computer architectures, such as reduced-instruction-set computers (RISes) and very-long-instruc tion-word computers. RISC architecture has become very popular among designers. Chapter Four discusses an architecture, data-flow, which is a departure from the conventional von Neumann architecture. NEC has applied the dataflow architecture on the design of a very sophis ticated image processing chip, the NEC PD7281. Chapters Five and Six are case studies, describing the Am29000 and the Transputer, respectively. Chapter Seven describes microprocessors specifically designed for digital signal processing. Chapter Eight discusses micromultiprocessing and describes the various topologies currently used. |
| data flow architecture diagram: Advanced Information Systems Engineering Panos Constantopoulos, John Mylopoulos, Yannis Vassiliou, 1996-05-03 This book presents the refereed proceedings of the 8th International Conference on Advanced Information Systems Engineering, CAiSE '96, held in Herakleion, Crete, Greece, in May 1996. The 30 revised full papers included in the book were selected from a total of some 100 submissions. The book is organised in sections on CASE environments, temporal and active database technologies, experience reports, interoperability in information systems, formal methods in system development, novel architectures, workflow management and distributed information systems, information modelling, object-oriented database design, and semantic links and abstraction. |
| data flow architecture diagram: Advances in Computers , 2017-06-26 Advances in Computers, Volume 106 is the latest volume in the series, which has been published since 1960. This update presents innovations in computer hardware, software, theory, design and applications, with new chapters in this volume including sections on A New Course on R&D Project Management in Computer Science and Engineering: Subjects Taught, Rationales Behind, and Lessons Learned, Advances in Dataflow Systems, Adaptation and Evaluation of the Simplex Algorithm for a Data-Flow Architecture, and Simple Operations in Memory to Reduce Data Movement. In addition, this series provides contributors with a medium to explore their subjects in greater depth than journal articles usually allow. - Provides in-depth surveys and tutorials on new computer technology - Presents well-known authors and researchers in the field - Contains extensive bibliographies with most chapters - Includes volumes that are devoted to single themes or subfields of computer science |
| data flow architecture diagram: Threat Modeling Izar Tarandach, Matthew J. Coles, 2020-11-13 Threat modeling is one of the most essential--and most misunderstood--parts of the development lifecycle. Whether you're a security practitioner or a member of a development team, this book will help you gain a better understanding of how you can apply core threat modeling concepts to your practice to protect your systems against threats. Contrary to popular belief, threat modeling doesn't require advanced security knowledge to initiate or a Herculean effort to sustain. But it is critical for spotting and addressing potential concerns in a cost-effective way before the code's written--and before it's too late to find a solution. Authors Izar Tarandach and Matthew Coles walk you through various ways to approach and execute threat modeling in your organization. Explore fundamental properties and mechanisms for securing data and system functionality Understand the relationship between security, privacy, and safety Identify key characteristics for assessing system security Get an in-depth review of popular and specialized techniques for modeling and analyzing your systems View the future of threat modeling and Agile development methodologies, including DevOps automation Find answers to frequently asked questions, including how to avoid common threat modeling pitfalls |
| data flow architecture diagram: Software Engineering Eric J. Braude, Michael E. Bernstein, 2016-03-09 Today’s software engineer must be able to employ more than one kind of software process, ranging from agile methodologies to the waterfall process, from highly integrated tool suites to refactoring and loosely coupled tool sets. Braude and Bernstein’s thorough coverage of software engineering perfects the reader’s ability to efficiently create reliable software systems, designed to meet the needs of a variety of customers. Topical highlights . . . • Process: concentrates on how applications are planned and developed • Design: teaches software engineering primarily as a requirements-to-design activity • Programming and agile methods: encourages software engineering as a code-oriented activity • Theory and principles: focuses on foundations • Hands-on projects and case studies: utilizes active team or individual project examples to facilitate understanding theory, principles, and practice In addition to knowledge of the tools and techniques available to software engineers, readers will grasp the ability to interact with customers, participate in multiple software processes, and express requirements clearly in a variety of ways. They will have the ability to create designs flexible enough for complex, changing environments, and deliver the proper products. |
| data flow architecture diagram: A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems Pardeep Kumar, Ahmed Jabbar Obaid, Korhan Cengiz, Ashish Khanna, Valentina Emilia Balas, 2021-08-23 This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry. |
| data flow architecture diagram: AWS Security Dylan Shields, 2022-10-04 Running your systems in the cloud doesn’t automatically make them secure. Learn the tools and new management approaches you need to create secure apps and infrastructure on AWS. In AWS Security you’ll learn how to: Securely grant access to AWS resources to coworkers and customers Develop policies for ensuring proper access controls Lock-down network controls using VPCs Record audit logs and use them to identify attacks Track and assess the security of an AWS account Counter common attacks and vulnerabilities Written by security engineer Dylan Shields, AWS Security provides comprehensive coverage on the key tools and concepts you can use to defend AWS-based systems. You’ll learn how to honestly assess your existing security protocols, protect against the most common attacks on cloud applications, and apply best practices to configuring identity and access management and virtual private clouds. About the technology AWS provides a suite of strong security services, but it’s up to you to configure them correctly for your applications and data. Cloud platforms require you to learn new techniques for identity management, authentication, monitoring, and other key security practices. This book gives you everything you’ll need to defend your AWS-based applications from the most common threats facing your business. About the book AWS Security is the guide to AWS security services you’ll want on hand when you’re facing any cloud security problem. Because it’s organized around the most important security tasks, you’ll quickly find best practices for data protection, auditing, incident response, and more. As you go, you’ll explore several insecure applications, deconstruct the exploits used to attack them, and learn how to react with confidence. What's inside Develop policies for proper access control Securely assign access to AWS resources Lock-down network controls using VPCs Record audit logs and use them to identify attacks Track and assess the security of an AWS account About the reader For software and security engineers building and securing AWS applications. About the author Dylan Shields is a software engineer working on Quantum Computing at Amazon. Dylan was one of the first engineers on the AWS Security Hub team. Table of Contents 1 Introduction to AWS security 2 Identity and access management 3 Managing accounts 4 Policies and procedures for secure access 5 Securing the network: The virtual private cloud 6 Network access protection beyond the VPC 7 Protecting data in the cloud 8 Logging and audit trails 9 Continuous monitoring 10 Incident response and remediation 11 Securing a real-world application |
| data flow architecture diagram: ITS Sensors and Architectures for Traffic Management and Connected Vehicles Lawrence A. Klein, 2017-08-07 An intelligent transportation system (ITS) offers considerable opportunities for increasing the safety, efficiency, and predictability of traffic flow and reducing vehicle emissions. Sensors (or detectors) enable the effective gathering of arterial and controlled-access highway information in support of automatic incident detection, active transportation and demand management, traffic-adaptive signal control, and ramp and freeway metering and dispatching of emergency response providers. As traffic flow sensors are integrated with big data sources such as connected and cooperative vehicles, and cell phones and other Bluetooth-enabled devices, more accurate and timely traffic flow information can be obtained. The book examines the roles of traffic management centers that serve cities, counties, and other regions, and the collocation issues that ensue when multiple agencies share the same space. It describes sensor applications and data requirements for several ITS strategies; sensor technologies; sensor installation, initialization, and field-testing procedures; and alternate sources of traffic flow data. The book addresses concerns related to the introduction of automated and connected vehicles, and the benefits that systems engineering and national ITS architectures in the US, Europe, Japan, and elsewhere bring to ITS. Sensor and data fusion benefits to traffic management are described, while the Bayesian and Dempster–Shafer approaches to data fusion are discussed in more detail. ITS Sensors and Architectures for Traffic Management and Connected Vehicles suits the needs of personnel in transportation institutes and highway agencies, and students in undergraduate or graduate transportation engineering courses. |
| data flow architecture diagram: Proceedings of Second International Conference on Sustainable Expert Systems Subarna Shakya, Ke-Lin Du, Wang Haoxiang, 2022-02-26 This book features high-quality research papers presented at the 2nd International Conference on Sustainable Expert Systems (ICSES 2021), held in Nepal during September 17–18, 2021. The book focusses on the research information related to artificial intelligence, sustainability, and expert systems applied in almost all the areas of industries, government sectors, and educational institutions worldwide. The main thrust of the book is to publish the conference papers that deal with the design, implementation, development, testing, and management of intelligent and sustainable expert systems and also to provide both theoretical and practical guidelines for the deployment of these systems. |
| data flow architecture diagram: The Method Framework for Engineering System Architectures Donald G. Firesmith, Peter Capell, Dietrich Falkenthal, Charles B. Hammons, DeWitt T. Latimer IV, Tom Merendino, 2008-11-20 Offering a practical way to generate effective and efficient project-specific system architecture engineering methods, this volume addresses the entire range of systems architecture including hardware, software, subsystems, and systems of systems. It defines a set of architectural roles and teams and provides a repository of reusable architectural engineering process components to develop high-quality system architectures. It examines a cohesive set of tailorable tasks and components steps for producing associated architectural work products and establishes a recommended set of industry best practices for engineering the architecture of software-intensive systems. |
| data flow architecture diagram: Creativity in Computing and DataFlow SuperComputing , 2017-01-02 Creativity in Computing and DataFlow Supercomputing, the latest release in the Advances in Computers series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. In addition, it provides contributors with a medium in which they can explore topics in greater depth and breadth than journal articles typically allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field. - Provides in-depth surveys and tutorials on new computer technology - Presents well-known authors and researchers in the field - Includes extensive bibliographies with most chapters - Contains extensive chapter coverage that is devoted to single themes or subfields of computer science |
| data flow architecture diagram: Computer-aided Software Engineering (CASE) Elliot J. Chikofsky, 1993 |
| data flow architecture diagram: , |
| data flow architecture diagram: Becoming a Salesforce Certified Technical Architect Tameem Bahri, 2023-06-30 Gain practical experience designing and building high-performance, secure, and scalable Salesforce solutions using real-world scenarios. Purchase of the book unlocks access to web-based exam prep resources like flashcards and a free eBook PDF. Key Features Master each knowledge domain by applying key concepts to a real-world scenario Put all the skills covered in the book into action with two full mock scenarios Gain access to additional online assets including flashcards and exam tips Book DescriptionThis book is a complete guide to learning essential architectural concepts that’ll enable you to deliver secure, high-performant Salesforce solutions and pass the Salesforce CTA review board exam with confidence. This second edition comes with updated content, additional supporting material such as cheat sheets, and detailed practical examples, and helps you learn key soft skills to craft a winning presentation. You’ll begin by reviewing vital architectural concepts needed to create a scalable end-to-end Salesforce solution. Next, you’ll find out how to identify requirements and break down a problem into smaller, more solvable parts. As you advance, you’ll gain practical experience in managing design decisions and defending them using real-world scenarios. The book also helps familiarize you with the correct methodology to structure your solution presentation and the necessary supporting artifacts. Finally, you’ll practice providing solutions for two full hypothetical scenarios and structuring your playback step by step. By the end of this Salesforce book, you’ll be able to design a highly scalable Salesforce solution and create suitable material to comfortably explain the end-to-end solution to the CTA review board and potentially your customer, and have a higher chance of passing.What you will learn Explore core architectural concepts essential for any Salesforce architect Understand Salesforce knowledge domains using practical examples Practice creating solutions using scenarios focusing on particular knowledge domains Discover key artifacts needed to document and explain an end-to-end solution Apply data life cycle management effectively in the Salesforce ecosystem Design appropriate enterprise integration interfaces to build your connected solution Know what to expect on the day of the review board along with valuable tips and tricks Who this book is for This book is for Salesforce architects who want to design secure, performant, and scalable technical solutions for their organizations and ultimately become Salesforce Certified Technical Architects. A solid understanding of the Salesforce platform is required, ideally combined with three to five years of practical experience as an application architect, system architect, enterprise architect, or solution architect. |
| data flow architecture diagram: Fundamentals of Computer Architecture and Design Ahmet Bindal, 2019-01-31 This textbook provides semester-length coverage of computer architecture and design, providing a strong foundation for students to understand modern computer system architecture and to apply these insights and principles to future computer designs. It is based on the author’s decades of industrial experience with computer architecture and design, as well as with teaching students focused on pursuing careers in computer engineering. Unlike a number of existing textbooks for this course, this one focuses not only on CPU architecture, but also covers in great detail in system buses, peripherals and memories. This book teaches every element in a computing system in two steps. First, it introduces the functionality of each topic (and subtopics) and then goes into “from-scratch design” of a particular digital block from its architectural specifications using timing diagrams. The author describes how the data-path of a certain digital block is generated using timing diagrams, a method which most textbooks do not cover, but is valuable in actual practice. In the end, the user is ready to use both the design methodology and the basic computing building blocks presented in the book to be able to produce industrial-strength designs. |
| data flow architecture diagram: Algorithms & Architectures For Parallel Processing, 4th Intl Conf Andrzej Marian Goscinski, Horace Ho Shing Ip, Wei-jia Jia, Wan Lei Zhou, 2000-11-24 ICA3PP 2000 was an important conference that brought together researchers and practitioners from academia, industry and governments to advance the knowledge of parallel and distributed computing. The proceedings constitute a well-defined set of innovative research papers in two broad areas of parallel and distributed computing: (1) architectures, algorithms and networks; (2) systems and applications. |
| data flow architecture diagram: Software Process and Product Measurement Reiner Dumke, 2008-11-12 Annotation This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Software Measurement, IWSM-Mensura 2007, held in Palma de Mallorca, Spain, in November 2007. The 16 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers deal with aspects of software measurement like function-points measurement, effort and cost estimates, prediction, industrial experiences in software measurement, planning and implementing measurement, measurement-based software process improvement, best practices in software measurement, usability and user interaction measurement, measurement of open source projects, teaching and learning software measurement as well as new trends and ontologies for software measurement. |
| data flow architecture diagram: Software Design Methodology Hong Zhu, 2005-03-22 Software Design Methodology explores the theory of software architecture, with particular emphasis on general design principles rather than specific methods. This book provides in depth coverage of large scale software systems and the handling of their design problems. It will help students gain an understanding of the general theory of design methodology, and especially in analysing and evaluating software architectural designs, through the use of case studies and examples, whilst broadening their knowledge of large-scale software systems. This book shows how important factors, such as globalisation, modelling, coding, testing and maintenance, need to be addressed when creating a modern information system. Each chapter contains expected learning outcomes, a summary of key points and exercise questions to test knowledge and skills. Topics range from the basic concepts of design to software design quality; design strategies and processes; and software architectural styles. Theory and practice are reinforced with many worked examples and exercises, plus case studies on extraction of keyword vector from text; design space for user interface architecture; and document editor. Software Design Methodology is intended for IT industry professionals as well as software engineering and computer science undergraduates and graduates on Msc conversion courses. * In depth coverage of large scale software systems and the handling of their design problems* Many worked examples, exercises and case studies to reinforce theory and practice* Gain an understanding of the general theory of design methodology |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
