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| caching solution that supports geospatial data: High Performance Computing for Geospatial Applications Wenwu Tang, Shaowen Wang, 2020-07-20 This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications. With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems. Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC. Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study. The book begins by discussing theoretical aspects and methodological uses of HPC within a geospatial context, including parallel algorithms, geospatial data handling, spatial analysis and modeling, and cartography and geovisualization. Then, specific domain applications of HPC are addressed in the contexts of earth science, land use and land cover change, urban studies, transportation studies, and social science. The book will be of interest to scientists and engineers who are interested in applying cutting-edge HPC technologies in their respective fields, as well as students and faculty engaged in geography, environmental science, social science, and computer science. |
| caching solution that supports geospatial data: Encyclopedia of GIS Shashi Shekhar, Hui Xiong, 2007-12-12 The Encyclopedia of GIS provides a comprehensive and authoritative guide, contributed by experts and peer-reviewed for accuracy, and alphabetically arranged for convenient access. The entries explain key software and processes used by geographers and computational scientists. Major overviews are provided for nearly 200 topics: Geoinformatics, Spatial Cognition, and Location-Based Services and more. Shorter entries define specific terms and concepts. The reference will be published as a print volume with abundant black and white art, and simultaneously as an XML online reference with hyperlinked citations, cross-references, four-color art, links to web-based maps, and other interactive features. |
| caching solution that supports geospatial data: Next Generation Geospatial Information Peggy Agouris, Arie Croituru, 2005-08-11 With the turn of the century our ability to collect and store geospatial information has increased considerably. This has resulted in ever-increasing amounts of heterogeneous geospatial data, an issue that poses new challenges and opportunities. As these rich sources of data are made available, users rely, now more than ever, on the geospatial data |
| caching solution that supports geospatial data: Decision Support System Susmita Bandyopadhyay, 2023-03-13 Discusses all the major tools and techniques for Decision Support System supported by examples Techniques are explained considering their deterministic and stochastic aspects Covers network tools including GERT and Q-GERT Explains application of both probability and fuzzy orientation in the pertinent techniques Includes a number of relevant case studies along with a dedicated chapter on software |
| caching solution that supports geospatial data: Rule Interchange and Applications Adrian Paschke, Guido Governatori, John Hall, 2009-11-04 The 2009 International Symposium on Rule Interchange and Applications (RuleML 2009), collocated in Las Vegas, Nevada, with the 12th International Business Rules Forum, was the premier place to meet and to exchange ideas from all ?elds of rules technologies. The aims of RuleML 2009 were both to present new and interesting research results and to show successfully deployed rule-basedapplications.This annualsymposium is the ?agshipevent of the Rule Markup and Modeling Initiative (RuleML). The RuleML Initiative (www.ruleml.org) is a non-pro?t umbrella organi- tion of several technical groups organized by representatives from academia, industry and public sectors working on rule technologies and applications. Its aim is to promote the study, research and application of rules in heterogeneous distributed environments such as the Web. RuleML maintains e?ective links with other major international societies and acts as intermediary between v- ious ‘specialized’ rule vendors, applications, industrial and academic research groups, as well as standardization e?orts from, for example, W3C, OMG, and OASIS. To emphasize the importance of rule standards RuleML 2009 featured, besides a number of tutorials on various rule aspects, a tutorial and a workshop dedicated to the newly released W3C Rule Interchange Format (RIF). |
| caching solution that supports geospatial data: Geospatial Services and Applications for the Internet John T. Sample, Kevin Shaw, Shengru Tu, Mahdi Abdelguerfi, 2008-12-10 The use of geospatial technologies has become ubiquitous since the leading Internet vendors delivered a number of popular map websites. This book covers a wide spectrum of techniques, model methodologies and theories on development and applications of GIS relative to the internet. It includes coverage of business process services, and integration of GIS into global enterprise information systems and service architectures. The world's experts in this emerging field present examples and case studies for location-based services, coastal restoration, urban planning, battlefield planning, rehearsal environmental analysis and assessment. |
| caching solution that supports geospatial data: Geographical Information Systems Elaheh Pourabbas, 2014-05-16 Web services, cloud computing, location based services, NoSQLdatabases, and Semantic Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both real-world and virtual spaces. This book explores the how-to of the most promising recurrent technologies and trends in GIS, such as Semantic GIS, Web GIS, Mobile GIS, NoSQL |
| caching solution that supports geospatial data: GeoWorld , 2005 |
| caching solution that supports geospatial data: Financial Data Engineering Tamer Khraisha, 2024-10-09 Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical and comprehensive understanding of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed. A data engineer developing a data infrastructure for a financial product possesses not only technical data engineering skills but also a solid understanding of financial domain-specific challenges, methodologies, data ecosystems, providers, formats, technological constraints, identifiers, entities, standards, regulatory requirements, and governance. This book offers a comprehensive, practical, domain-driven approach to financial data engineering, featuring real-world use cases, industry practices, and hands-on projects. You'll learn: The data engineering landscape in the financial sector Specific problems encountered in financial data engineering The structure, players, and particularities of the financial data domain Approaches to designing financial data identification and entity systems Financial data governance frameworks, concepts, and best practices The financial data engineering lifecycle from ingestion to production The varieties and main characteristics of financial data workflows How to build financial data pipelines using open source tools and APIs Tamer Khraisha, PhD, is a senior data engineer and scientific author with more than a decade of experience in the financial sector. |
| caching solution that supports geospatial data: Web Engineering Sven Casteleyn, Gustavo Rossi, Marco Winckler, 2014-09-16 This book constitutes the refereed proceedings of the 14th International Conference on Web Engineering, ICWE 2014, held in Toulouse, France, in July 2014. The 20 full research papers, 13 late breaking result papers, 15 poster papers, and 4 contributions to the PhD symposium presented were carefully reviewed and selected from 100 submissions. Moreover 3 tutorials and 3 workshops are presented. The papers focus on six research tracks, namely cross-media and mobile Web applications, HCI and the Web, Modelling and Engineering Web applications, quality aspects of Web applications, social Web applications, Web applications composition and mashups. |
| caching solution that supports geospatial data: The Geospatial Web Arno Scharl, Klaus Tochtermann, 2009-02-28 This volume emphasizes the applications and implications of the Geospatial Web and the role of contextual knowledge in shaping the emerging network society. There is a clear focus on applied geospatial aspects. The book has contributions from a very active research community. Containing chapters from renowned researchers and practitioners, this volume will be invaluable to all interested in this field. |
| caching solution that supports geospatial data: Solutions Architect's Handbook Saurabh Shrivastava, Neelanjali Srivastav, 2024-03-29 From fundamentals and design patterns to the latest techniques such as generative AI, machine learning and cloud native architecture, gain all you need to be a pro Solutions Architect crafting secure and reliable AWS architecture. Key Features Hits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWS Offers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, Google A valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWS Book DescriptionMaster the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.What you will learn Explore various roles of a solutions architect in the enterprise Apply design principles for high-performance, cost-effective solutions Choose the best strategies to secure your architectures and boost availability Develop a DevOps and CloudOps mindset for collaboration, operational efficiency, and streamlined production Apply machine learning, data engineering, LLMs, and generative AI for improved security and performance Modernize legacy systems into cloud-native architectures with proven real-world strategies Master key solutions architect soft skills Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and some awareness of cloud technology. |
| caching solution that supports geospatial data: Smart Trajectories Azedine Boulmakoul, Lamia Karim, Bharat Bhushan, 2022-12-30 This book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems. Smart Trajectories: Metamodeling, Reactive Architecture for Analytics and Smart Applications deals with the representation and manipulation of smart trajectories in various applications and scenarios. Presented in three parts, the book first discusses the foundation and principles for spatial information systems, complex event processing, and building a reactive architecture. Next, the book discusses modeling and architecture in relation to smart trajectory metamodeling, mining and big trajectory data, and clustering trajectories. The final section discusses advanced applications and trends in the field, including congestion trajectory analytics and real-time Big Data analytics in cloud ecosystems. Metamodeling, distributed architectures, reactive programming, Big Data analytics, NoSQL databases, connected objects, and edge-fog-cloud computing form the basis of the concepts and applications discussed. The book also presents a number of case studies to demonstrate smart trajectories related to spatiotemporal events such as traffic congestion and pedestrian accidents. This book is intended for graduate students in computer engineering, spatial databases, complex event processing, distributed systems, and geographical information systems (GIS). The book will also be useful for practicing traffic engineers, city managers, and environmental engineers interested in monitoring and security analysis. |
| caching solution that supports geospatial data: The European Information Society Sara Fabrikant, Monica Wachowicz, 2007-12-12 This book presents a state-of-the-art overview of ongoing GIScience research that has been presented at the 10th Conference of the Association of Geographic Information Laboratories for Europe (AGILE), held in Aalborg, Denmark. Included are 27 fully peer-reviewed papers not only covering basic GIScience research themes, but also ongoing research on technological advancements, as well as applied research on environmental modeling and management. |
| caching solution that supports geospatial data: WebGIS for Disaster Management and Emergency Response Rifaat Abdalla, Marwa Esmail, 2018-12-06 This book aims to help students, researchers and policy makers understand the latest research and development trends in the application of WebGIS for Disaster Management and Emergency Response. It is designed as a useful tool to better assess the mechanisms for planning, response and mitigation of the impact of disaster scenarios at the local, regional or national levels. It contains details on how to use WebGIS to solve real-world problems associated with Disaster Management Scenarios for the long-term sustainability. The book broadens the reader understanding of the policy and decision-making issues related to Disaster Management response and planning. |
| caching solution that supports geospatial data: Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management Kosar, Tevfik, 2012-01-31 This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges--Provided by publisher. |
| caching solution that supports geospatial data: Geospatial Web Services: Advances in Information Interoperability Zhao, Peisheng, Di, Liping, 2010-12-31 As Web service technologies have matured in recent years, an increasing number of geospatial Web services designed to deal with spatial information over the network have emerged. Geospatial Web Services: Advances in Information Interoperability provides relevant theoretical frameworks and the latest empirical research findings and applications in the area. This book highlights the strategic role of geospatial Web services in a distributed heterogeneous environment and the life cycle of geospatial Web services for building interoperable geospatial applications. |
| caching solution that supports geospatial data: The Metaverse: Fully Revised and Updated Edition: Building the Spatial Internet Matthew Ball, 2024-07-23 “Ball’s lucid and timely book offers a portal into a new realm.”—The Economist The term “Metaverse” is thirty years old, yet only recently entered mainstream conversation, attracting both fascinating and skepticism. While some have promised its imminent arrival, in fact it will take a series of technological and societal leaps to realize its full potential. In The Metaverse, pioneering theorist, former tech executive, and acclaimed entrepreneur Matthew Ball offers an expansive tour of the “next internet”: he presents a comprehensive definition of the Metaverse (going far beyond mere virtual reality headsets), explains the technologies that will power it, addresses governance challenges, and predicts Metaverse winners and losers. Bringing clarity and authority to a frequently misunderstood concept, this revised and updated edition of Ball’s authoritative work demonstrates how the Metaverse will radically reshape society. “A comprehensive guide to every aspect of the metaverse.”—John Thornhill, Financial Times “Offers a better understanding of the metaverse than the novel that coined the term—1992’s Snow Crash.”—Cecilia D’Anastasio, Bloomberg |
| caching solution that supports geospatial data: Web Engineering Boualem Benatallah, Fabio Casati, Gerti Kappel, Gustavo Rossi, 2010-07-07 In parallel to the printed book, each new volume is published electronically in LNCS Online. --Résumé de l'éditeur. |
| caching solution that supports geospatial data: Advances in Spatial and Temporal Databases Dieter Pfoser, Yufei Tao, Kyriakos Mouratidis, Mario Nascimento, Mohamed Mokbel, Shashi Shekhar, YAN HUANG, 2011-07-28 This volume constitutes the refereed proceedings of the 12th International Symposium on Spatial and Temporal Databases, SSTD 2011, held in Minneapolis, USA, in August 2011. The 24 revised full papers presented together with one keynote, 8 short papers, and 8 demonstration papers, were thoroughly reviewed and selected from a total of 63 research submissions, 21 vision and challenges submissions and 16 demonstration submissions. The papers are organized in topical sections on knowledge discovery; spatial networks; access methods; moving objects and sensor networks; multidimensional query processing; and temporal and streaming data. |
| caching solution that supports geospatial data: Intelligent Information and Database Systems Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat, 2023-09-04 This two-volume set LNAI 13995 and LNAI 13996 constitutes the refereed proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 24–26, 2023. The 65 full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers of the 2 volume-set are organized in the following topical sections: Case-Based Reasoning and Machine Comprehension; Computer Vision; Data Mining and Machine Learning; Knowledge Integration and Analysis; Speech and Text Processing; and Resource Management and Optimization. |
| caching solution that supports geospatial data: Advances in Location-Based Services Georg Gartner, Felix Ortag, 2011-11-02 This book gives a general picture of research-driven activities related to location and map-based services. The interdisciplinary character of the topic leads to a variety of contributions with backgrounds from academia to business and from computer science to geodesy. While cartography is aiming at efficient communication of spatial information, the development and availability of technologies like mobile networking, mobile devices or short-range sensors lead to interesting new possibilities of achieving this aim. By trying to make use of the available technologies, a variety of related disciplines looks specifically at user-centered and context-aware system development, especially in wayfinding and navigation systems. |
| caching solution that supports geospatial data: Handbook of Research on Developments and Trends in Wireless Sensor Networks: From Principle to Practice Jin, Hai, Jiang, Wenbin, 2010-02-28 This book showcases the work many devoted wireless sensor network researchers all over world, and exhibits the up-to-date developments of WSNs from various perspectives--Provided by publisher. |
| caching solution that supports geospatial data: AWS Certified SysOps Administrator – Associate Guide Marko Sluga, 2019-01-30 An effective guide to becoming an AWS Certified SysOps Administrator Key FeaturesNot only pass the certification with confidence but also enhance your skills to solving real-world scenarios.A practical guide to getting you hands-on experience with application management, deployment, operation.Enhance your AWS skills with practice questions and mock tests.Book Description AWS certifications are becoming one of the must have certifications for any IT professional working on an AWS Cloud platform. This book will act as your one stop preparation guide to validate your technical expertise in deployment, management, and operations on the AWS platform. Along with exam specific content this book will also deep dive into real world scenarios and hands-on instructions. This book will revolve around concepts like teaching you to deploy, manage, and operate scalable, highly available, and fault tolerant systems on AWS. You will also learn to migrate an existing on-premises application to AWS. You get hands-on experience in selecting the appropriate AWS service based on compute, data, or security requirements. This book will also get you well versed with estimating AWS usage costs and identifying operational cost control mechanisms. By the end of this book, you will be all prepared to implement and manage resources efficiently on the AWS cloud along with confidently passing the AWS Certified SysOps Administrator – Associate exam. What you will learnCreate and manage users, groups, and permissions using AWS IAM servicesCreate a secure VPC with public and private subnets, Network Access Control, and security groupsGet started with launching your first EC2 instance, and working with itHandle application traffic with ELB and monitor AWS resources with CloudWatchWork with S3, Glacier, and CloudFrontWork across distributed application components using SWFUnderstand event-based processing with Lambda and messaging SQS and SNS in AWSGet familiar with AWS deployment concepts and tools including Elastic Beanstalk, CloudFormation and AWS OpsWorksWho this book is for If you are a system administrator or a system engineer interested in leveraging the AWS platform to deploy applications then, this book is for you. IT professionals interested in passing the AWS Certified Sysops Administrator will also benefit from this book. Some basic understanding of working AWS components would do wonders. |
| caching solution that supports geospatial data: Dissertation Abstracts International , 2005 |
| caching solution that supports geospatial data: Advances in Geoinformatics Clodoveu Augusto Davis, Antonio M. V. Monteiro, 2007-11-25 The GeoInfo series of scientific conferences is an annual forum for exploring research, development and innovative applications in geographic information science and related areas. This book provides a privileged view of what is currently happening in the field of geoinformatics as well as a preview of what could be the hottest developments and research topics in the near future. |
| caching solution that supports geospatial data: Drone Data Analytics in Aerial Computing P. Karthikeyan, Sathish Kumar, V. Anbarasu, 2023-09-26 This book discusses the latest research, theoretical, and experimental research innovations in drone data analytics in aerial computing. Drone data analytics guarantees that the right people have the correct data at their fingertips whenever they need it. The contents also discuss the challenges faced with drone data analytics, such as due to the high mobility of drones, aerial computing is significantly different from terrestrial computing. It also includes case studies from leading drone vendors. The book also focuses on the comparison of data management and security mechanisms in drone data analytics. This book is useful to those working in agriculture, mining, waste management, and defenses department. |
| caching solution that supports geospatial data: Principles of Big Graph: In-depth Insight , 2023-01-24 Principles of Big Graph: In-depth Insight, Volume 128 in the Advances in Computer series, highlights new advances in the field with this new volume presenting interesting chapters on a variety of topics, including CESDAM: Centered subgraph data matrix for large graph representation, Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications, An empirical investigation on Big Graph using deep learning, Analyzing correlation between quality and accuracy of graph clustering, geneBF: Filtering protein-coded gene graph data using bloom filter, Processing large graphs with an alternative representation, MapReduce based convolutional graph neural networks: A comprehensive review. Fast exact triangle counting in large graphs using SIMD acceleration, A comprehensive investigation on attack graphs, Qubit representation of a binary tree and its operations in quantum computation, Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data, Big graph based online learning through social networks, Community detection in large-scale real-world networks, Power rank: An interactive web page ranking algorithm, GA based energy efficient modelling of a wireless sensor network, The major challenges of big graph and their solutions: A review, and An investigation on socio-cyber crime graph. Provides an update on the issues and challenges faced by current researchers Updates on future research agendas Includes advanced topics for intensive research for researchers |
| caching solution that supports geospatial data: Get Your Hands Dirty on Clean Architecture Tom Hombergs, 2019-09-30 Gain insight into how hexagonal architecture can help to keep the cost of development low over the complete lifetime of an application Key FeaturesExplore ways to make your software flexible, extensible, and adaptableLearn new concepts that you can easily blend with your own software development styleDevelop the mindset of building maintainable solutions instead of taking shortcutsBook Description We would all like to build software architecture that yields adaptable and flexible software with low development costs. But, unreasonable deadlines and shortcuts make it very hard to create such an architecture. Get Your Hands Dirty on Clean Architecture starts with a discussion about the conventional layered architecture style and its disadvantages. It also talks about the advantages of the domain-centric architecture styles of Robert C. Martin's Clean Architecture and Alistair Cockburn's Hexagonal Architecture. Then, the book dives into hands-on chapters that show you how to manifest a hexagonal architecture in actual code. You'll learn in detail about different mapping strategies between the layers of a hexagonal architecture and see how to assemble the architecture elements into an application. The later chapters demonstrate how to enforce architecture boundaries. You'll also learn what shortcuts produce what types of technical debt and how, sometimes, it is a good idea to willingly take on those debts. After reading this book, you'll have all the knowledge you need to create applications using the hexagonal architecture style of web development. What you will learnIdentify potential shortcomings of using a layered architectureApply methods to enforce architecture boundariesFind out how potential shortcuts can affect the software architectureProduce arguments for when to use which style of architectureStructure your code according to the architectureApply various types of tests that will cover each element of the architectureWho this book is for This book is for you if you care about the architecture of the software you are building. To get the most out of this book, you must have some experience with web development. The code examples in this book are in Java. If you are not a Java programmer but can read object-oriented code in other languages, you will be fine. In the few places where Java or framework specifics are needed, they are thoroughly explained. |
| caching solution that supports geospatial data: Introduction to Geospatial Information and Communication Technology (GeoICT) Rifaat Abdalla, 2016-07-25 This book is designed to help students and researchers understand the latest research and development trends in the domain of geospatial information and communication (GeoICT) technologies. Accordingly, it covers the fundamentals of geospatial information systems, spatial positioning technologies, and networking and mobile communications, with a focus on OGC and OGC standards, Internet GIS, and location-based services. Particular emphasis is placed on introducing GeoICT as an integrated technology that effectively bridges various information-technology domains. |
| caching solution that supports geospatial data: Emerging Trends in Open Source Geographic Information Systems Srivastava, Naveenchandra N., 2018-05-25 Open access to information of geographic places and spatial relationships provides an essential part of the analytical processing of spatial data. Access to connected geospatial programs allows for improvement in teaching and understanding science, technology, engineering, and mathematics. Emerging Trends in Open Source Geographic Information Systems provides emerging research on the applications of free and open software in geographic information systems in various fields of study. While highlighting topics such as data warehousing, hydrological modeling, and software packages, this publication explores the assessment and techniques of open software functionality and interfaces. This book is an important resource for professionals, researchers, academicians, and students seeking current research on the different types and uses of data and data analysis in geographic information systems. |
| caching solution that supports geospatial data: Redis Stack for Application Modernization Luigi Fugaro, Mirko Ortensi, 2023-12-29 Discover the multi-model capabilities of Redis Stack as a document store and vector database, with support for time series, stream processing, probabilistic data structures, and more Key Features Model, index, and search data using JSON and vector data types Modernize your applications with vector similarity search, documents hybrid search, and more Configure a scalable, highly available, and secure server using RedisInsight Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn modern applications, efficiency in both operational and analytical aspects is paramount, demanding predictable performance across varied workloads. This book introduces you to Redis Stack, an extension of Redis and guides you through its broad data modeling capabilities. With practical examples of real-time queries and searches, you’ll explore Redis Stack’s new approach to providing a rich data modeling experience all within the same database server. You’ll learn how to model and search your data in the JSON and hash data types and work with features such as vector similarity search, which adds semantic search capabilities to your applications to search for similar texts, images, or audio files. The book also shows you how to use the probabilistic Bloom filters to efficiently resolve recurrent big data problems. As you uncover the strengths of Redis Stack as a data platform, you’ll explore use cases for managing database events and leveraging introduce stream processing features. Finally, you’ll see how Redis Stack seamlessly integrates into microservices architectures, completing the picture. By the end of this book, you’ll be equipped with best practices for administering and managing the server, ensuring scalability, high availability, data integrity, stored functions, and more.What you will learn Get started with data modeling using JSON and hash documents, vectors, and time series Implement microservices patterns and resolve typical use cases Use probabilistic data structures to analyze datasets and streams Integrate Redis Stack into your Java, Python, C#, Golang, and Node.js projects Develop powerful data flows using triggers and stream processing features Manage your database server for scalability, high availability, and security Visualize and manage your data with RedisInsight Who this book is for This book is for database administrators, database developers, software developers, and software architects who want to discover the powerful real-time, multi-model capabilities of the Redis Stack database. A basic understanding of Redis and databases in general, coupled with software development skills in at least one of Java, Python, C#, Golang, or JavaScript languages will help you understand the concepts covered in this book. |
| caching solution that supports geospatial data: Computational Science and Its Applications - ICCSA 2011 Beniamino Murgante, Osvaldo Gervasi, Andres Iglesias, David Taniar, Bernady O. Apduhan, 2011-06-17 The five-volume set LNCS 6782 - 6786 constitutes the refereed proceedings of the International Conference on Computational Science and Its Applications, ICCSA 2011, held in Santander, Spain, in June 2011. The five volumes contain papers presenting a wealth of original research results in the field of computational science, from foundational issues in computer science and mathematics to advanced applications in virtually all sciences making use of computational techniques. The topics of the fully refereed papers are structured according to the five major conference themes: geographical analysis, urban modeling, spatial statistics; cities, technologies and planning; computational geometry and applications; computer aided modeling, simulation, and analysis; and mobile communications. |
| caching solution that supports geospatial data: Handbook of Research on Big Data Storage and Visualization Techniques Segall, Richard S., Cook, Jeffrey S., 2018-01-05 The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject. |
| caching solution that supports geospatial data: Data Science and Network Engineering Suyel Namasudra, Munesh Chandra Trivedi, Ruben Gonzalez Crespo, Pascal Lorenz, 2023-11-02 This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2023) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 21–22, 2023. It includes research works from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering. |
| caching solution that supports geospatial data: Cybercartography D.R. Fraser Taylor, Tracey Lauriault, 2006-01-12 For generations, the map has been central to how societies function all over the world. Cybercartography is a new paradigm for maps and mapping in the information era. Defined as the organization, presentation, analysis and communication of spatially referenced information on a wide variety of topics of interest to society, cybercartography is presented in an interactive, dynamic, multisensory format with the use of multimedia and multimodal interfaces. Cybercartography: Theory and Practice examines the major elements of cybercartography and emphasizes the importance of interaction between theory and practice in developing a paradigm which moves beyond the concept of Geographic Information Systems and Geographical Information Science. It argues for the centrality of the map as part of an integrated information, communication, and analytical package.This volume is a result of a multidisciplinary team effort and has benefited from the input of partners from government, industry and other organizations. The international team reports on major original cybercartographic research and practice from a variety of disciplinary perspectives, including the humanities, social sciences including human factors psychology, cybernetics, English literature, cultural mediation, cartography, and geography. This new synthesis has intrinsic value for industries, the general public, and the relationships between mapping and the development of user-centered multimedia interfaces.* Discusses the centrality of the map and its importance in the information era * Provides an interdisciplinary approach with contributions from psychology, music, and language and literature * Describes qualitative and quantitative aspects of cybercartography and the importance of societal context in the interaction between theory and practice* Contains an interactive CD-Rom containing color images, links to websites, plus other important information to capture the dynamic and interactive elements of cybercartography |
| caching solution that supports geospatial data: Technologies and Applications for Big Data Value Edward Curry, Sören Auer, Arne J. Berre, Andreas Metzger, Maria S. Perez, Sonja Zillner, 2022 This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part Technologies and Methods contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part Processes and Applications details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems. |
| caching solution that supports geospatial data: The Earth Observer , 2000 |
| caching solution that supports geospatial data: Spring Data Mark Pollack, Oliver Gierke, Thomas Risberg, 2012-10-24 You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop. Through several sample projects, you’ll learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow. You’ll also discover the features Spring Data adds to Spring’s existing JPA and JDBC support for writing RDBMS-based data access layers. Learn about Spring’s template helper classes to simplify the use of database-specific functionality Explore Spring Data’s repository abstraction and advanced query functionality Use Spring Data with Redis (key/value store), HBase (column-family), MongoDB (document database), and Neo4j (graph database) Discover the GemFire distributed data grid solution Export Spring Data JPA-managed entities to the Web as RESTful web services Simplify the development of HBase applications, using a lightweight object-mapping framework Build example big-data pipelines with Spring Batch and Spring Integration |
| caching solution that supports geospatial data: Google Cloud Certified Professional Cloud Architect All-in-One Exam Guide Iman Ghanizada, 2021-02-19 Everything you need to succeed on the Google Cloud Certified Professional Cloud Architect exam in one accessible study guide Take the challenging Google Cloud Certified Professional Cloud Architect exam with confidence using the comprehensive information contained in this invaluable self-study guide. The book provides a thorough overview of cloud architecture and Google Cloud Platform (GCP) and shows you how to pass the test. Beyond exam preparation, the guide also serves as a valuable on-the-job reference. Written by a recognized expert in the field, Google Cloud Certified Professional Cloud Architect All-In-One Exam Guide is based on proven pedagogy and features special elements that teach and reinforce practical skills. The book contains accurate practice questions and in-depth explanations. You will discover how to design, develop, and manage robust, secure, scalable, and highly available solutions to drive business objectives. Offers 100% coverage of every objective for the Google Cloud Certified Professional Cloud Architect exam Online content includes 100 additional practice questions in the TotalTester customizable exam engine Written by a Google Cloud Certified Professional Cloud Architect |
What is Caching and How it Works | AWS
A cache is a high-speed data storage layer which stores a subset of data, typically transient in nature, so that future requests for that data are served up faster than the data’s primary …
Caching Best Practices | Amazon Web Services
A cache is a high-speed data storage layer which stores a subset of data, typically transient in nature, so that future requests for that data are served up faster than the data’s primary …
Prompt caching for faster model inference - Amazon Bedrock
Prompt caching is an optional feature that you can use with supported models on Amazon Bedrock to reduce inference response latency and input token costs. By adding portions of …
Database Caching - aws.amazon.com
Database Caching. The speed and throughput of your database can be the most impactful factor for overall application performance
Supercharge your auto scaling for generative AI inference – …
Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI …
Caching patterns - Database Caching Strategies Using Redis
When you are caching data from your database, there are caching patterns for Redis and Memcached that you can implement, including proactive and reactive approaches. The …
Qué es el almacenamiento en caché y cómo funciona | AWS
Una memoria caché es una capa de almacenamiento de datos de alta velocidad que almacena un subconjunto de datos, normalmente transitorios, de modo que las solicitudes futuras de …
AWS Caching Solutions
AWS Caching Solutions. Learn about Amazon ElastiCache, Amazon CloudFront, and Amazon Route 53
Cache settings for REST APIs in API Gateway
You can enable API caching in API Gateway to cache your endpoint's responses. With caching, you can reduce the number of calls made to your endpoint and also improve the latency of …
Data Caching Across Microservices in a Serverless Architecture
Jul 21, 2021 · The microservices architecture allows you to build several caching layers depending on your use case. In this blog, we discussed data caching within the compute layer to reduce …
What is Caching and How it Works | AWS
A cache is a high-speed data storage layer which stores a subset of data, typically transient in nature, so that future requests for that data are served up faster than the data’s primary …
Caching Best Practices | Amazon Web Services
A cache is a high-speed data storage layer which stores a subset of data, typically transient in nature, so that future requests for that data are served up faster than the data’s primary …
Prompt caching for faster model inference - Amazon Bedrock
Prompt caching is an optional feature that you can use with supported models on Amazon Bedrock to reduce inference response latency and input token costs. By adding portions of …
Database Caching - aws.amazon.com
Database Caching. The speed and throughput of your database can be the most impactful factor for overall application performance
Supercharge your auto scaling for generative AI inference – …
Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI …
Caching patterns - Database Caching Strategies Using Redis
When you are caching data from your database, there are caching patterns for Redis and Memcached that you can implement, including proactive and reactive approaches. The …
Qué es el almacenamiento en caché y cómo funciona | AWS
Una memoria caché es una capa de almacenamiento de datos de alta velocidad que almacena un subconjunto de datos, normalmente transitorios, de modo que las solicitudes futuras de …
AWS Caching Solutions
AWS Caching Solutions. Learn about Amazon ElastiCache, Amazon CloudFront, and Amazon Route 53
Cache settings for REST APIs in API Gateway
You can enable API caching in API Gateway to cache your endpoint's responses. With caching, you can reduce the number of calls made to your endpoint and also improve the latency of …
Data Caching Across Microservices in a Serverless Architecture
Jul 21, 2021 · The microservices architecture allows you to build several caching layers depending on your use case. In this blog, we discussed data caching within the compute layer …
