Hadoop Online Training

Welcome to the Hadoop Online Training of TGC India. of TGC India would be conducted in conjunction with our training partners, iMentors.
iMentors is an independent subsidiary of TGC INDIA that specialized in short term online training. Through the iMentors platform, the course of education and training has been greatly reduced and more tutors have been engaged from across the world.

The Hadoop Online Training include:

1. HADOOP ECOSYSTEM & CLUSTER

Available version Hadoop 1.x & 2
Available Distributions of Hadoop (Cloudera, Hortonworks)
Hadoop Projects & Components
Architecture of Hadoop & Planning for cluster
The Hadoop Distributed File System (HDFS)
Cluster Daemons & Its Functions.
- Name Node
- Secondary Node
- Data Nodes
- Application Master and Task Tracker
YARN Responsibilities
Deployment of Hadoop Cluster

2. CLOUDERA SANDBOX OR QUICK START

Installation of cloudera quick start
Difference in sandbox and distributed environment
Overview of apache HUE

3. MAP-REDUCE, MAP-REDUCE STEAMING (IN JAVA)

All Map-Reduce API Concepts
Architecture of Map-Reduce
Writing Map-Reduce Drivers, Mappers, and Reducers in Java
Speeding Up Hadoop Development by Using Eclipse
Differences between the Old and New Map-Reduce APIs
Writing Mappers and Reducers with the Streaming API
Different question raised for Map-Reduce

4. HBASE: THE HADOOP DATABASE

Problems with RDBMS
Introduction to HBase
Non-RDBMS, Not-Only SQL or No-SQL
Installation HBase& Deployment
Types CRUD & Batch Operations
Filters, Counters, Pool
Rest Interface & Web-UI

5. Hadoop Shell and Commands

Hadoop Developer commands using shell
Map-Reduce job deployment
Oozie workflow design
Different Components Jobs design.

6. APACHE DRILL – REPLACEMENT OF MAP-REDUCE

Installation of Drill
Query data using apache drill
Query data from Hadoop/HDFS file system
Drill &Hbase integration
Drill & Hive integration & Replacement

7. HCATALOG OR METASTORE TABLES

Introduction of apache Hcatalog
Creating tables using Hcatalog
Bulk uploads using MetaStore Tables
Play with semi-structured data
Integration of Hcatalog with Hive
Hive SQL query analysis

8. HIVE

Problems with No-SQL Database
Introduction & Installation Hive
Hive Schema and Data Storage
Data Types & Introduction to SQL
Hive-SQL: DML & DDL
Hive-SQL: Views & Indexes
Explain and use the various Hive file formats
Use Hive to run SQL-like queries to perform data analysis
Use Hive to join data sets using a variety of techniques, including Mapside joins and Sort-Merge-Bucket joins
Integration to HBase& Cassandra
Sentiment Analysis and N-Grams
Hive Thrift Service

9. FLUME

Installation of Flume
Ingesting Data from External Sources with Flume
Configuration for flume
REST Interfaces
Best Practices for Importing Data

10. SQOOP

Installation of Sqoop
Ingesting Data from External (RDBMS) Sources with Sqoop
Ingesting Data from/to Relational Databases with Sqoop
Integration of Sqoop and HBase
Integration of Sqoop and Hive
Best Practices for Importing Data

11. CONCLUSION & FAQS
Note:

Every Topic has practical session
Hadoop uses different components which discussed in required

Sessions

Hue
Cloudera Manager
Zookeeper
Ooozie
etc

PREREQUISITES

This course is best suited to developers and engineers who have some or little bit programming experience. Knowledge of Java is not mandatory, Any programming language can be used with Hadoop and is required to complete the hands-on exercises.