Distributed Computing in Big Data Analytics Book [PDF] Download

Download the fantastic book titled Distributed Computing in Big Data Analytics written by Sourav Mazumder, 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 "Distributed Computing in Big Data Analytics", which was released on 29 August 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Distributed Computing in Big Data Analytics by Sourav Mazumder PDF

Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use. This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations. Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies.


Detail About Distributed Computing in Big Data Analytics PDF

  • Author : Sourav Mazumder
  • Publisher : Springer
  • Genre : Computers
  • Total Pages : 162 pages
  • ISBN : 3319598341
  • PDF File Size : 20,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Distributed Computing in Big Data Analytics

Distributed Computing in Big Data Analytics
  • Publisher : Springer
  • File Size : 36,6 Mb
  • Release Date : 29 August 2017
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Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing

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Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or

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This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners

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Edge Learning for Distributed Big Data Analytics
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Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.

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Data Intensive Computing Applications for Big Data
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The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings

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  • Release Date : 20 May 2024
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This second open access volume of the handbook series deals with detectors, large experimental facilities and data handling, both for accelerator and non-accelerator based experiments. It also covers applications in

Data Science and Big Data Analytics in Smart Environments

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  • Publisher : CRC Press
  • File Size : 34,6 Mb
  • Release Date : 28 July 2021
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Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring

Guide to High Performance Distributed Computing

Guide to High Performance Distributed Computing
  • Publisher : Springer
  • File Size : 36,9 Mb
  • Release Date : 09 February 2015
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This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book presents state-of-the-art material on building

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High-Performance Big-Data Analytics

High-Performance Big-Data Analytics
  • Publisher : Springer
  • File Size : 51,9 Mb
  • Release Date : 16 October 2015
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This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study