We need to be an expert in Java to write MapReduce code for intermediate and Complex problems
Hadoop alone canât 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 donât 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