Big Data Processing Using Spark in Cloud

The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding o...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Mittal, Mamta (Editor), Balas, Valentina E. (Editor), Goyal, Lalit Mohan (Editor), Kumar, Raghvendra (Editor)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Studies in Big Data, 43
Subjects:
Big data.
Data protection.
Quantitative research.
Big Data.
Data and Information Security.
Data Analysis and Big Data.
Online Access:Full-text access
Table of Contents:
  • Concepts of Big Data and Apache Spark
  • Big Data Analysis in Cloud and Machine Learning
  • Security Issues and Challenges related to Big Data
  • Big Data Security Solutions in Cloud
  • Data Science and Analytics
  • Big Data Technologies
  • Data Analysis with Casandra and Spark
  • Spin up the Spark Cluster
  • Learn Scala
  • IO for Spark
  • Processing with Spark
  • Spark Data Frames and Spark SQL
  • Machine Learning and Advanced Analytics
  • Parallel Programming with Spark
  • Distributed Graph Processing with Spark
  • Real Time Processing with Spark
  • Spark in Real World
  • Case Studies. .

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