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Big Data processing using Apache Spark and Hadoop

Big Data processing using Apache Spark and Hadoop

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In this chapter, we introduce overview of what is Big Data processing and how Big Data is processed using Apache Hadoop and Spark, mostly in distributed computing platforms.

Chapter Contents:

  • 6.1 Introduction
  • 6.2 Big Data processing
  • 6.2.1 Big Data processing models
  • 6.2.2 Big Data processing implementations
  • 6.2.3 MapReduce-based Big Data processing implementations
  • 6.2.4 Computing platforms for Big Data processing
  • 6.3 Apache Hadoop
  • 6.3.1 Overview of Hadoop
  • 6.3.2 Hadoop MapReduce
  • 6.3.3 Hadoop distributed file system
  • 6.3.4 YARN
  • 6.3.5 Hadoop libraries
  • 6.3.6 Research activities on Hadoop
  • 6.4 Apache Spark
  • 6.4.1 Overview of Spark
  • 6.4.2 Resilient distributed dataset
  • 6.4.3 Spark libraries
  • 6.4.4 Using both Spark and Hadoop cooperatively
  • 6.4.5 Research activities on Spark
  • 6.5 Open issues and challenges
  • 6.5.1 Storage
  • 6.5.2 Computation
  • 6.5.3 Network
  • 6.5.4 Data analysis
  • 6.6 Summary
  • References

Inspec keywords: Big Data; parallel processing

Other keywords: Hadoop; Apache Spark; distributed computing platforms; Big Data processing

Subjects: Parallel software; Data handling techniques

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