Big Data 2 0 Processing Systems Book [PDF] Download

Download the fantastic book titled Big Data 2 0 Processing Systems written by Sherif Sakr, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Big Data 2 0 Processing Systems", which was released on 09 July 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Big Data 2 0 Processing Systems by Sherif Sakr PDF

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.


Detail About Big Data 2 0 Processing Systems PDF

  • Author : Sherif Sakr
  • Publisher : Springer Nature
  • Genre : Computers
  • Total Pages : 145 pages
  • ISBN : 3030441873
  • PDF File Size : 25,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Big Data 2.0 Processing Systems

Big Data 2.0 Processing Systems
  • Publisher : Springer Nature
  • File Size : 52,7 Mb
  • Release Date : 09 July 2020
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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

Big Data 2.0 Processing Systems

Big Data 2.0 Processing Systems
  • Publisher : Springer
  • File Size : 34,7 Mb
  • Release Date : 24 August 2016
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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

Computational Statistics in Data Science

Computational Statistics in Data Science
  • Publisher : John Wiley & Sons
  • File Size : 35,6 Mb
  • Release Date : 23 March 2022
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Ein unverzichtbarer Leitfaden bei der Anwendung computergestützter Statistik in der modernen Datenwissenschaft In Computational Statistics in Data Science präsentiert ein Team aus bekannten Mathematikern und Statistikern eine fundierte

Large Scale and Big Data

Large Scale and Big Data
  • Publisher : CRC Press
  • File Size : 20,7 Mb
  • Release Date : 25 June 2014
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Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written

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Web and Big Data
  • Publisher : Springer
  • File Size : 22,9 Mb
  • Release Date : 01 August 2017
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This two –volume set, LNCS 10366 and 10367, constitutes the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017. The 44 full papers presented together with 32

Big Data

Big Data
  • Publisher : Morgan Kaufmann
  • File Size : 20,5 Mb
  • Release Date : 07 June 2016
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Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight

The Dictionary of Artificial Intelligence

The Dictionary of Artificial Intelligence
  • Publisher : Entropol
  • File Size : 37,8 Mb
  • Release Date : 03 November 2023
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Unveiling the Future: Your Portal to Artificial Intelligence Proficiency In the epoch of digital metamorphosis, Artificial Intelligence (AI) stands as the vanguard of a new dawn, a nexus where human