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301.2.5-Map Reduce Alternatives

 

MapReduce programming is not easy

  • MapReduce programs are written in Java
  • Not everyone has Java background
  • We need to be an expert in Java to write MapReduce code for intermediate and Complex problems
  • Hadoop alone can’t make our life easy
  • While HDFS and Map Reduce programming solves our issue with bigdata handling, but it is not very easy to write a MapReduce code
  • One has to understand the logic of overall algorithm then convert it to MapReduce format.

Tools in Hadoop Echo System

  • If we don’t know java how do we write MapReduce programs?
  • Is there a tool to interact with Hadoop HDFS environment and handle data operations, without writing complicated codes?
  • Yes, Hadoop ecosystem has many such utility tools.
  • For example Hive gives us an SQL like programming interface and converts our queries to MapReduce

Hadoop Ecosystem Tools

  • Hive
  • Pig
  • Sqoop
  • Flume
  • Hbase
  • Zookeeper
  • Oozie
  • Mahout

and many more!!!

Hadoop Ecosystem Tools – Hive

  • Hive is for data analysts with strong SQL skills providing an SQL-like interface and a relational data model
  • Hive uses a language called HiveQL; very similar to SQL
  • Hive translates queries into a series of MapReduce jobs

Hadoop Ecosystem Tools – Pig

  • Pig is a high-level platform for processing big data on Hadoop clusters.
  • Pig consists of a data flow language, called Pig Latin, supporting writing queries on large datasets and an execution environment running programs from a console
  • The Pig Latin programs consist of dataset transformation series converted under the covers, to a MapReduce program series

 

15th May 2017

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