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Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

GABRIELE MODENA

E-BOOK
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If you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. You are expected to be familiar with the Unix/Linux command-line interface and have some experience with the Java programming language. Familiarity with Hadoop would be a plus.
  • 1. Introduction
  • 2. Storage
  • 3. Processing - MapReduce and Beyond
  • 4. Real Time Computation with Samza
  • 5. Iterative Computation with Spark
  • 6. Data Analysis with Apache Pig
  • 7. Hadoop and SQL
  • 8. Data Lifecycle Management
  • 9. Making Development Easier
  • 10. Running a Hadoop Cluster
  • 11. Where to go Next
  • Titel:Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
  • Autor:GABRIELE MODENA
  • Originaler Titel:Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
  • ISBN:9781783285525, 9781783285525
  • Veröffentlichungsdatum:2015-02-13
  • Format:E-Book
  • Artikel-ID: e_3ct5
  • Verleger: Packt Publishing