• No products in the cart.

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

 

22nd March 2018

Statinfer

Statinfer derived from Statistical inference. We provide training in various Data Analytics and Data Science courses and assist candidates in securing placements.

Contact Us

info@statinfer.com

+91- 9676098897

+91- 9494762485

 

Our Social Links

top
© 2020. All Rights Reserved.