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