BIG DATA Training

28/12/2014 Professional & Short Term Course

Price: Check with seller

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              Big Data

  • The problem space and example applications

  • Why don’t traditional approaches scale?

  • Requirements


Hadoop Background

  • Hadoop History

  • The ecosystem and stack: HDFS, Map Reduce, Hive, Pig…

  • Cluster architecture overview



Development Environment

  • Hadoop distribution and basic commands

  • Eclipse development


HDFS Introduction

  • The HDFS command line and web interfaces

  • The HDFS Java API (lab)


Map Reduce Introduction

  • Key philosophy: move computation, not data

  • Core concepts: Mappers, reducers, drivers

  • The Map Reduce Java API (lab)


Real-World Map Reduce

  • Optimizing with Combiners and Practitioners (lab)

  • More common algorithms: sorting, indexing and searching (lab)

  • Relational manipulation: map-side and reduce-side joins (lab)

  • Chaining Jobs

  • Testing with MRUnit


Higher-level Tools

  • Patterns to abstract “thinking in Map Reduce”

  • The Cascading library (lab)

  • The Hive database (lab)


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Phone Number:7702999361
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