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Author :
Publisher :
ISBN 13 :
Total Pages : 340 pages
Book Rating : 4.3/5 (126 download)
Download or read book Computer Sciences and Data Systems: Data systems written by and published by . This book was released on 1987 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 364 pages
Book Rating : 4.3/5 (243 download)
Download or read book Computer Sciences and Data Systems written by and published by . This book was released on 1987 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Thomas Bressoud
Publisher : Springer
ISBN 13 : 9783030543730
Total Pages : 828 pages
Book Rating : 4.5/5 (437 download)
Download or read book Introduction to Data Systems written by Thomas Bressoud and published by Springer. This book was released on 2021-12-05 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form. The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the “data-aptitude” built by the material in this book.
Author :
Publisher :
ISBN 13 :
Total Pages : 356 pages
Book Rating : 4.3/5 (126 download)
Download or read book Computer Sciences and Data Systems: Computer science written by and published by . This book was released on 1987 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guy Lebanon
Publisher : Springer
ISBN 13 : 3319981498
Total Pages : 576 pages
Book Rating : 4.3/5 (199 download)
Download or read book Computing with Data written by Guy Lebanon and published by Springer. This book was released on 2018-11-28 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly website, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expand on their current roles, in areas such as applied statistics, big data, machine learning, data mining, and informatics. The authors draw from their combined experience working at software and social network companies, on big data products at several major online retailers, as well as their experience building big data systems for an AI startup. Spanning from the basic inner workings of a computer to advanced data manipulation techniques, this book opens doors for readers to quickly explore and enhance their computing knowledge. Computing with Data comprises a wide range of computational topics essential for data scientists, analysts, and engineers, providing them with the necessary tools to be successful in any role that involves computing with data. The introduction is self-contained, and chapters progress from basic hardware concepts to operating systems, programming languages, graphing and processing data, testing and programming tools, big data frameworks, and cloud computing. The book is fashioned with several audiences in mind. Readers without a strong educational background in CS--or those who need a refresher--will find the chapters on hardware, operating systems, and programming languages particularly useful. Readers with a strong educational background in CS, but without significant industry background, will find the following chapters especially beneficial: learning R, testing, programming, visualizing and processing data in Python and R, system design for big data, data stores, and software craftsmanship.
Author : Jawwad Ahmad Shamsi
Publisher : CRC Press
ISBN 13 : 0429531575
Total Pages : 370 pages
Book Rating : 4.4/5 (295 download)
Download or read book Big Data Systems written by Jawwad Ahmad Shamsi and published by CRC Press. This book was released on 2021-05-11 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for iterative algorithms. Similarly, variations in big data systems also exist related to consistency and fault tolerance. The purpose of this book is to provide a detailed explanation of big data systems. The book covers various topics including Networking, Security, Privacy, Storage, Computation, Cloud Computing, NoSQL and NewSQL systems, High Performance Computing, and Deep Learning. An illustrative and practical approach has been adopted in which theoretical topics have been aided by well-explained programming and illustrative examples. Key Features: Introduces concepts and evolution of Big Data technology. Illustrates examples for thorough understanding. Contains programming examples for hands on development. Explains a variety of topics including NoSQL Systems, NewSQL systems, Security, Privacy, Networking, Cloud, High Performance Computing, and Deep Learning. Exemplifies widely used big data technologies such as Hadoop and Spark. Includes discussion on case studies and open issues. Provides end of chapter questions for enhanced learning.
Author : Supun Kamburugamuve
Publisher : John Wiley & Sons
ISBN 13 : 1119713013
Total Pages : 416 pages
Book Rating : 4.1/5 (197 download)
Download or read book Foundations of Data Intensive Applications written by Supun Kamburugamuve and published by John Wiley & Sons. This book was released on 2021-08-11 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: PEEK “UNDER THE HOOD” OF BIG DATA ANALYTICS The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of big data to software development for optimal performance. The authors discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You???ll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within. Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every big data processing system. Ideal for data scientists, data architects, dev-ops engineers, and developers, Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood shows readers how to: Identify the foundations of large-scale, distributed data processing systems Make major software design decisions that optimize performance Diagnose performance problems and distributed operation issues Understand state-of-the-art research in big data Explain and use the major big data frameworks and understand what underpins them Use big data analytics in the real world to solve practical problems
Author :
Publisher :
ISBN 13 :
Total Pages : 1010 pages
Book Rating : 4.P/5 (18 download)
Download or read book Signal written by and published by . This book was released on 1990 with total page 1010 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : United States. Department of Health, Education, and Welfare. Secretary's Advisory Committee on Automated Personal Data Systems
Publisher :
ISBN 13 :
Total Pages : 396 pages
Book Rating : 4.3/5 (91 download)
Download or read book Records, Computers, and the Rights of Citizens written by United States. Department of Health, Education, and Welfare. Secretary's Advisory Committee on Automated Personal Data Systems and published by . This book was released on 1973 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mitchell A. Krasny
Publisher :
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4.3/5 (121 download)
Download or read book Documentation of Computer Programs and Automated Data Systems written by Mitchell A. Krasny and published by . This book was released on 1977 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 340 pages
Book Rating : 4.:/5 (317 download)
Download or read book Computer Sciences and Data Systems, Volume 2 written by and published by . This book was released on 1987 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : University of Maryland at College Park. Academic Data Systems
Publisher :
ISBN 13 :
Total Pages : 92 pages
Book Rating : 4.:/5 (422 download)
Download or read book Academic Data Systems, Administrative Computer Center, Computer Science Center, University of Maryland at College Park, Strategic Plans written by University of Maryland at College Park. Academic Data Systems and published by . This book was released on 1994 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alton R. Kindred
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 440 pages
Book Rating : 4.3/5 (91 download)
Download or read book Data Systems and Management written by Alton R. Kindred and published by Prentice Hall. This book was released on 1980 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data systems; What are data systems? Organization of the systems department; Systems analysis and design techniques; The systems study; Systems flowcharting; System control, installation and maintenance; System operation and maintenance; Case studies.
Author : Sherif Sakr
Publisher : Springer Nature
ISBN 13 : 3030441873
Total Pages : 145 pages
Book Rating : 4.0/5 (34 download)
Download or read book Big Data 2.0 Processing Systems written by Sherif Sakr and published by Springer Nature. This book was released on 2020-07-09 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems. After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Next, Chapter 6 focuses on covering the emerging frameworks and systems in the domain of scalable machine learning and deep learning processing. Lastly, Chapter 7 shares conclusions and an outlook on future research challenges. This new and considerably enlarged second edition not only contains the completely new chapter 6, but also offers a refreshed content for the state-of-the-art in all domains of big data processing over the last years. Overall, the book offers a valuable reference guide for professional, students, and researchers in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.
Author : Nathan Marz
Publisher : Manning Publications Company
ISBN 13 : 9781617290343
Total Pages : 328 pages
Book Rating : 4.2/5 (93 download)
Download or read book Big Data written by Nathan Marz and published by Manning Publications Company. This book was released on 2015 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth
Author : Abdelkader Hameurlain
Publisher : Springer Nature
ISBN 13 : 3662622718
Total Pages : 195 pages
Book Rating : 4.6/5 (626 download)
Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV written by Abdelkader Hameurlain and published by Springer Nature. This book was released on 2020-09-09 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 44th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised and extended papers selected from the 35th conference on Data Management – Principles, Technologies and Applications, BDA 2019. The topics covered include big data, graph data streams, workflow execution in the cloud, privacy in crowdsourcing, secure distributed computing, machine learning, and data mining for recommendation systems.
Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309165636
Total Pages : 216 pages
Book Rating : 4.3/5 (91 download)
Download or read book Computer Science written by National Research Council and published by National Academies Press. This book was released on 2004-10-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science: Reflections on the Field, Reflections from the Field provides a concise characterization of key ideas that lie at the core of computer science (CS) research. The book offers a description of CS research recognizing the richness and diversity of the field. It brings together two dozen essays on diverse aspects of CS research, their motivation and results. By describing in accessible form computer science's intellectual character, and by conveying a sense of its vibrancy through a set of examples, the book aims to prepare readers for what the future might hold and help to inspire CS researchers in its creation.
