About the Training
This Hadoop training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop ecosystem and best practices about HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop. This course is stepping stone to your Big Data journey and you will get the opportunity to work on a Big data Analytics project after selecting a data-set of your choice. You will get edureka Hadoop certification after the project completion.
CURRICULUM
- 3.1 Introduction to HBase
- 3.2 What is HBase
- 3.3 HBase Modelo
- 3.4 HBase Read
- 3.5 HBase Write
- 3.6 HBase MemStore
- 3.7 HBase Installation
- 3.8 RDBMS vs HBaseHBase
- 3.9 HBase Commands
- 3.10 HBase Example
- 4.1 Introduction Hive
- 4.2 What is Hive?
- 4.3 Hive Installation
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4.4 Hive Data Types
- 4.5 Hive Partitioning
- 4.6 Hive Commands
- 4.7 Hive DDL Commands
- 4.8 Hive DML Commands
- 4.9 Hive Sort by Order by
- 4.10 Hive Joins
- 5.1 Introduction to Pig
- 5.2 What is Pig?
- 5.3 Pig Installation
- 5.4 Pig Run Modes
- 5.5 Pig Latin Concepts
- 5.6 Pig Data Types
- 5.7 Pig Example
- 5.8 Pig UDF
- 6.1 Introduction to Sqoop
- 6.2 What is Sqoop?
- 6.3 Sqoop Installation
- 6.4 Starting Sqoop
- 6.5 Sqoop Import
- 6.6 Sqoop Export
- 6.7 Sqoop Where
- 6.8 Sqoop Integration
- 6.9 Hadoop Intervies
