Hadoop testing training Introduction

The Hadoop testing process is understandably the most important aspect of any software domain. The Testing Engineer role extends to different domains when the organization chooses to adapt itself to an improved technology.

Prerequisites for Hadoop testing training:

• No prerequisite is required to learn Hadoop testing.

1. INTRODUCTION TO BIG DATA AND HADOOP

• Introduction to Big Data
• Introduction to Hadoop, HDFS and Map Reduce

2. HADOOP ARCHITECTURE AND DAEMON SERVICES

• Hadoop architecture
• Name node
• Data node
• Secondary name node
• Job tracker/Resource manager
• Task tracker/Node manager

3. HADOOP DEPLOYMENT MODES AND HADOOP INSTALLATION

• Local/Standalone mode
• Pseudo distributed mode
• Fully distributed mode
• Installing Hadoop in Pseudo distributed mode

4. INTRODUCING MAP REDUCE CONCEPTS

• Explaining the map reduce flow
• Word count program
• Discussion on combiner, practitioner and counters.
• Hadoop ecosystem architecture
• Discussing roles of different tools

5. INTRODUCTION TO HIVE

• Hive Introduction
• Detailed understanding of Hive
• Hive for relational data analysis
• Data management with Hive

6. DIVE DEEP INTO HIVE

• Optimization of Hive
• Extending Hive
• Hands on Exercises
• UDF, query optimization

7.INTRODUCTION TO SQOOP

• Sqoop introduction
• Installing Sqoop
• Exploring Import, Export and other commands
• Exercises

8. INTRODUCTION TO PIG

• Pig Introduction
• Installing Pig
• Exploring standard functions
• Exercises

9:DIVE DEEP INTO PIG

• Writing UDFs and plug into Pig scripts
• Performing multi-dataset operations
• Extending Pig
• Pig Jobs

10. INTRODUCTION TO HBASE

• Introduction to HBase
• HBase installation
• Exploring basic commands