RDF Database Systems

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 0128004703
Total Pages : 256 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis RDF Database Systems by : Olivier Curé

Download or read book RDF Database Systems written by Olivier Curé and published by Morgan Kaufmann. This book was released on 2014-11-24 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: RDF Database Systems is a cutting-edge guide that distills everything you need to know to effectively use or design an RDF database. This book starts with the basics of linked open data and covers the most recent research, practice, and technologies to help you leverage semantic technology. With an approach that combines technical detail with theoretical background, this book shows how to design and develop semantic web applications, data models, indexing and query processing solutions. - Understand the Semantic Web, RDF, RDFS, SPARQL, and OWL within the context of relational database management and NoSQL systems - Learn about the prevailing RDF triples solutions for both relational and non-relational databases, including column family, document, graph, and NoSQL - Implement systems using RDF data with helpful guidelines and various storage solutions for RDF - Process SPARQL queries with detailed explanations of query optimization, query plans, caching, and more - Evaluate which approaches and systems to use when developing Semantic Web applications with a helpful description of commercial and open-source systems

Crafting Data-Driven Solutions: Core Principles for Robust, Scalable, and Sustainable Systems

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Author :
Publisher : Walzone Press
ISBN 13 :
Total Pages : 179 pages
Book Rating : 4./5 ( download)

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Book Synopsis Crafting Data-Driven Solutions: Core Principles for Robust, Scalable, and Sustainable Systems by : Peter Jones

Download or read book Crafting Data-Driven Solutions: Core Principles for Robust, Scalable, and Sustainable Systems written by Peter Jones and published by Walzone Press. This book was released on 2024-10-14 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Crafting Data-Driven Solutions: Core Principles for Robust, Scalable, and Sustainable Systems" stands as an essential resource for anyone tasked with developing, scaling, or managing applications where data is the pivotal component. This comprehensive guide delves into the architectural frameworks of data systems, elucidating the intricate interactions that influence performance, scalability, and reliability. From foundational principles to advanced theories in batch and stream processing, each chapter systematically unveils critical insights into data models, storage solutions, encoding techniques, replication strategies, and more, supported by real-world case studies and practical examples. Whether you are an experienced software architect, a developer keen to enhance your data system design skills, or a student preparing to navigate the complexities of big data, this book provides the deep knowledge and expert guidance needed to excel in the realm of data-driven systems. Empower yourself with the expertise to design resilient architectures that not only fulfill operational requirements but also scale gracefully with evolving data demands. Make "Crafting Data-Driven Solutions" your go-to reference for building next-generation systems that are robust, efficient, and sustainable.

Encyclopedia of Database Technologies and Applications

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Author :
Publisher : IGI Global
ISBN 13 : 1591407958
Total Pages : 784 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Encyclopedia of Database Technologies and Applications by : Rivero, Laura C.

Download or read book Encyclopedia of Database Technologies and Applications written by Rivero, Laura C. and published by IGI Global. This book was released on 2005-06-30 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Addresses the evolution of database management, technologies and applications along with the progress and endeavors of new research areas."--P. xiii.

Exam Ref DP-900 Microsoft Azure Data Fundamentals

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Author :
Publisher : Microsoft Press
ISBN 13 : 0138261989
Total Pages : 267 pages
Book Rating : 4.1/5 (382 download)

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Book Synopsis Exam Ref DP-900 Microsoft Azure Data Fundamentals by : Nicola Farquharson

Download or read book Exam Ref DP-900 Microsoft Azure Data Fundamentals written by Nicola Farquharson and published by Microsoft Press. This book was released on 2024-04-22 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare for Microsoft Exam DP-900 and demonstrate your real-world foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Fundamentals level. Focus on the expertise measured by these objectives: Describe core data concepts within Microsoft Azure Describe how to work with both relational and non-relational data types on Azure Describe strategic application, data management, storage and processing in the Azure cloud environment Describe an analytics workload on Azure This Microsoft Exam Ref: Organizes its coverage by the Skills Measured list published for the exam Features strategic, what-if scenarios to challenge you Assumes you have foundational knowledge of core data concepts and their implementation with Microsoft Azure data services, and a general grasp of cloud concepts

The Definitive Guide to SQLite

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Author :
Publisher : Apress
ISBN 13 : 1430232269
Total Pages : 363 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis The Definitive Guide to SQLite by : Grant Allen

Download or read book The Definitive Guide to SQLite written by Grant Allen and published by Apress. This book was released on 2011-01-28 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outside of the world of enterprise computing, there is one database that enables a huge range of software and hardware to flex relational database capabilities, without the baggage and cost of traditional database management systems. That database is SQLite—an embeddable database with an amazingly small footprint, yet able to handle databases of enormous size. SQLite comes equipped with an array of powerful features available through a host of programming and development environments. It is supported by languages such as C, Java, Perl, PHP, Python, Ruby, TCL, and more. The Definitive Guide to SQLite, Second Edition is devoted to complete coverage of the latest version of this powerful database. It offers a thorough overview of SQLite’s capabilities and APIs. The book also uses SQLite as the basis for helping newcomers make their first foray into database development. In only a short time you can be writing programs as diverse as a server-side browser plug-in or the next great iPhone or Android application! Learn about SQLite extensions for C, Java, Perl, PHP, Python, Ruby, and Tcl. Get solid coverage of SQLite internals. Explore developing iOS (iPhone) and Android applications with SQLite. SQLite is the solution chosen for thousands of products around the world, from mobile phones and GPS devices to set-top boxes and web browsers. You almost certainly use SQLite every day without even realizing it!

Principles of Distributed Database Systems

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Author :
Publisher : Springer Nature
ISBN 13 : 3030262537
Total Pages : 674 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Principles of Distributed Database Systems by : M. Tamer Özsu

Download or read book Principles of Distributed Database Systems written by M. Tamer Özsu and published by Springer Nature. This book was released on 2019-12-02 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems. The peer-to-peer computing chapter has been updated with a discussion of blockchains. The chapters that describe classical distributed and parallel database technology have all been updated. The new edition covers the breadth and depth of the field from a modern viewpoint. Graduate students, as well as senior undergraduate students studying computer science and other related fields will use this book as a primary textbook. Researchers working in computer science will also find this textbook useful. This textbook has a companion web site that includes background information on relational database fundamentals, query processing, transaction management, and computer networks for those who might need this background. The web site also includes all the figures and presentation slides as well as solutions to exercises (restricted to instructors).

User-Centric and Information-Centric Networking and Services

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Author :
Publisher : CRC Press
ISBN 13 : 1351801325
Total Pages : 172 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis User-Centric and Information-Centric Networking and Services by : M. Bala Krishna

Download or read book User-Centric and Information-Centric Networking and Services written by M. Bala Krishna and published by CRC Press. This book was released on 2019-04-29 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: User-Centric Networks (UCN) and Information-Centric Networks (ICN) are new communication paradigms to increase the efficiency of content delivery and also content availability. In this new concept, the network infrastructure actively contributes to content caching and distribution. This book presents the basic concepts of UCN and ICN, describes the main architecture proposals for these networks, and discusses the main challenges to their development. The book also looks at the current challenges for this concept, including naming, routing and caching on the network-core elements, several aspects of content security, user privacy, and practical issues in implementing UCN and ICN.

Comprehensive Geographic Information Systems

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Author :
Publisher : Elsevier
ISBN 13 : 0128047933
Total Pages : 1488 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Comprehensive Geographic Information Systems by :

Download or read book Comprehensive Geographic Information Systems written by and published by Elsevier. This book was released on 2017-07-21 with total page 1488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographical Information Systems, Three Volume Set is a computer system used to capture, store, analyze and display information related to positions on the Earth’s surface. It has the ability to show multiple types of information on multiple geographical locations in a single map, enabling users to assess patterns and relationships between different information points, a crucial component for multiple aspects of modern life and industry. This 3-volumes reference provides an up-to date account of this growing discipline through in-depth reviews authored by leading experts in the field. VOLUME EDITORS Thomas J. Cova The University of Utah, Salt Lake City, UT, United States Ming-Hsiang Tsou San Diego State University, San Diego, CA, United States Georg Bareth University of Cologne, Cologne, Germany Chunqiao Song University of California, Los Angeles, CA, United States Yan Song University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Kai Cao National University of Singapore, Singapore Elisabete A. Silva University of Cambridge, Cambridge, United Kingdom Covers a rapidly expanding discipline, providing readers with a detailed overview of all aspects of geographic information systems, principles and applications Emphasizes the practical, socioeconomic applications of GIS Provides readers with a reliable, one-stop comprehensive guide, saving them time in searching for the information they need from different sources

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVII

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Author :
Publisher : Springer
ISBN 13 : 3662579324
Total Pages : 200 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVII by : Abdelkader Hameurlain

Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVII written by Abdelkader Hameurlain and published by Springer. This book was released on 2018-08-01 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This, the 37th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include data security in clouds, privacy languages, probabilistic modelling in linked data integration, business intelligence based on multi-agent systems, collaborative filtering, and prediction accuracy.

Mastering Apache Hadoop

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Author :
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 194 pages
Book Rating : 4.8/5 (618 download)

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Book Synopsis Mastering Apache Hadoop by : Cybellium Ltd

Download or read book Mastering Apache Hadoop written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Power of Big Data Processing with Apache Hadoop Ecosystem Are you ready to embark on a journey into the world of big data processing and analysis using Apache Hadoop? "Mastering Apache Hadoop" is your comprehensive guide to understanding and harnessing the capabilities of Hadoop for processing and managing massive datasets. Whether you're a data engineer seeking to optimize processing pipelines or a business analyst aiming to extract insights from large data, this book equips you with the knowledge and tools to master the art of Hadoop-based data processing. Key Features: 1. Deep Dive into Hadoop Ecosystem: Immerse yourself in the core components and concepts of the Apache Hadoop ecosystem. Understand the architecture, components, and functionalities that make Hadoop a powerful platform for big data. 2. Installation and Configuration: Master the art of installing and configuring Hadoop on various platforms. Learn about cluster setup, resource management, and configuration settings for optimal performance. 3. Hadoop Distributed File System (HDFS): Uncover the power of HDFS for distributed storage and data management. Explore concepts like replication, fault tolerance, and data placement to ensure data durability. 4. MapReduce and Data Processing: Delve into MapReduce, the core data processing paradigm in Hadoop. Learn how to write MapReduce jobs, optimize performance, and leverage parallel processing for efficient data analysis. 5. Data Ingestion and ETL: Discover techniques for ingesting and transforming data in Hadoop. Explore tools like Apache Sqoop and Apache Flume for extracting data from various sources and loading it into Hadoop. 6. Data Querying and Analysis: Master querying and analyzing data using Hadoop. Learn about Hive, Pig, and Spark SQL for querying structured and semi-structured data, and uncover insights that drive informed decisions. 7. Data Storage Formats: Explore data storage formats optimized for Hadoop. Learn about Avro, Parquet, and ORC, and understand how to choose the right format for efficient storage and retrieval. 8. Batch and Stream Processing: Uncover strategies for batch and real-time data processing in Hadoop. Learn how to use Apache Spark and Apache Flink to process data in both batch and streaming modes. 9. Data Visualization and Reporting: Discover techniques for visualizing and reporting on Hadoop data. Explore integration with tools like Apache Zeppelin and Tableau to create compelling visualizations. 10. Real-World Applications: Gain insights into real-world use cases of Apache Hadoop across industries. From financial analysis to social media sentiment analysis, explore how organizations are leveraging Hadoop's capabilities for data-driven innovation. Who This Book Is For: "Mastering Apache Hadoop" is an essential resource for data engineers, analysts, and IT professionals who want to excel in big data processing using Hadoop. Whether you're new to Hadoop or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of big data technology.

Earth System Modelling - Volume 4

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642364640
Total Pages : 66 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Earth System Modelling - Volume 4 by : V. Balaji

Download or read book Earth System Modelling - Volume 4 written by V. Balaji and published by Springer Science & Business Media. This book was released on 2013-04-06 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the issue of data input/output and post-processing in the context of Earth system modeling, with an emphasis on parallel I/O, storage management and analysis subsystems for very large scale data requirements.

The Design and Implementation of Modern Column-Oriented Database Systems

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Author :
Publisher : Now Publishers
ISBN 13 : 9781601987549
Total Pages : 90 pages
Book Rating : 4.9/5 (875 download)

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Book Synopsis The Design and Implementation of Modern Column-Oriented Database Systems by : Daniel Abadi

Download or read book The Design and Implementation of Modern Column-Oriented Database Systems written by Daniel Abadi and published by Now Publishers. This book was released on 2013 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Design and Implementation of Modern Column-Oriented Database Systems discusses modern column-stores, their architecture and evolution as well the benefits they can bring in data analytics.

Efficient Processing of Deep Neural Networks

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Author :
Publisher : Springer Nature
ISBN 13 : 3031017668
Total Pages : 254 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Efficient Processing of Deep Neural Networks by : Vivienne Sze

Download or read book Efficient Processing of Deep Neural Networks written by Vivienne Sze and published by Springer Nature. This book was released on 2022-05-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

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Author :
Publisher : Now Publishers Inc
ISBN 13 : 160198460X
Total Pages : 138 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers by : Stephen Boyd

Download or read book Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers written by Stephen Boyd and published by Now Publishers Inc. This book was released on 2011 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.

1994 IEEE International Conference on Systems, Man, and Cybernetics

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Author :
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
ISBN 13 :
Total Pages : 1118 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis 1994 IEEE International Conference on Systems, Man, and Cybernetics by : IEEE Systems, Man, and Cybernetics Society

Download or read book 1994 IEEE International Conference on Systems, Man, and Cybernetics written by IEEE Systems, Man, and Cybernetics Society and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1994 with total page 1118 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data-Intensive Text Processing with MapReduce

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Author :
Publisher : Springer Nature
ISBN 13 : 3031021363
Total Pages : 171 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data-Intensive Text Processing with MapReduce by : Jimmy Lin

Download or read book Data-Intensive Text Processing with MapReduce written by Jimmy Lin and published by Springer Nature. This book was released on 2022-05-31 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks

Modern Big Data Architectures

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119597935
Total Pages : 208 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Modern Big Data Architectures by : Dominik Ryzko

Download or read book Modern Big Data Architectures written by Dominik Ryzko and published by John Wiley & Sons. This book was released on 2020-04-09 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together. A multi-agent system (MAS) is a self-organized computer system that comprises multiple intelligent agents interacting to solve problems that are beyond the capacities of individual agents. Modern Big Data Architectures examines modern concepts and architecture for Big Data processing and analytics. This unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets. Each chapter contains practical examples and detailed solutions suitable for a wide variety of applications. The author, an internationally-recognized expert in Big Data and distributed Artificial Intelligence, demonstrates how base concepts such as agent, actor, and micro-service have reached a point of convergence—enabling next generation systems to be built by incorporating the best aspects of the field. This book: Illustrates how data sets are produced and how they can be utilized in various areas of industry and science Explains how to apply common computational models and state-of-the-art architectures to process Big Data tasks Discusses current and emerging Big Data applications of Artificial Intelligence Modern Big Data Architectures: A Multi-Agent Systems Perspective is a timely and important resource for data science professionals and students involved in Big Data analytics, and machine and artificial learning.