Hadoop Courses Online in Bangalore

Hadoop courses online in Bangalore is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! Now Facebook is able to quickly deal with such large quantities of information. Well today, we’re going into the wild west of Data Management called Big Data/Hadoop. Now while may or may not have heard of Big Data, and other terms like Hadoop or MapReduce. 

Hadoop Training Center | Marathahalli
Hadoop Online Classes | Bangalore
Hadoop Courses Structure | Marathahalli

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Hadoop Course content

Hadoop Basics

  • What is Big Data
  • What is Hadoop
  • Why Hadoop and its use cases
  • Different Componets of Hadoop

HDFS (Hadoop Distributed File System):

  • Significance of HDFS in Hadoop
  • Features of HDFS

5 daemons of Hadoop:

  • Name Node and its functionality
  • Data Node and its functionality
  • Job Tracker and its functionality
  • Task Track and its functionality
  • Secondary Name Node and its functionality.

Data Storage in HDFS:

  • Introduction about Blocks
  • Data Replication

Accessing HDFS:

  • CLI (Command Line Interface) and Admin commands
  • DataNode Recommendations
  • NameNode Recommendations
  • Hadoop Archives

Hadoop Installation:

  • Map Reduce
  • Map Reduce architecture
  • Map Reduce Programming Model
  • Different phases of Map Reduce Algorithm
  • Different Data types in Map Reduce

How to write a basic Map Reduce Program:

  • The Mapper
  • The Reducer
  • The Driver Code
  • Creating Input and Output Formats in Map Reduce Jobs
  • Text Input Format
  • Key Value Input Format
  • Introduction to Map Reduce Pipeline
  • Combiner and Partioner
  • YARN and Map Reduce v2

Apache PIG:

  • Introduction to Apache Pig
  • Map Reduce Vs Apache Pig
  • SQL Vs Apache Pig
  • Different datatypes in Pig

Modes Of Execution in Pig:

  • Local Mode
  • Map Reduce

Execution Mechanism:

  • Grunt Shell
  • Script
  • Transformations in Pig
  • How to write a simple pig script
  • UDFs in Pig

HIVE:

  • Hive Introduction
  • Difference between Pig and Hive
  • Difference between Hive and RDBMS
  • Hive Integration with Hadoop
  • Hive Query Language(Hive QL)
  • Internal and External Table
  • Partition and Bucketing
  • Tuning of Hive
  • Authentication in Hive
  • Authorization in Hive
  • Speculative execution in Hive
  • Hive UDF

SQOOP:

  • Introduction to Sqoop.
  • MySQL client and Server Installation
  • How to connect to Relational Database using Sqoop
  • Different Sqoop Commands
  • Import (MySQL data import to HDFS)
  • Export

Flume

  • Flume Introduction
  • Different components of Flume
  • Twitter data collection using Flume

Cassandra

  • Introduction
  • Requirements of Cassandra
  • Cassandra Architecture
  • Write Operation
  • KeySpace and ColumnFamily
  • Storing and Reading data in Columnfamily
  • Datatypes in Cassandra
  • CQL and CLI Utility
  • CAP Theorem
  • Difference between HBase and Cassandra
  • Introduction to Splunk and Tableau

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