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Hadoop testing training

Hadoop Testing Training

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. In this blog post, let’s discuss why a Software Testing Engineer should learn Big Data and Hadoop ecosystem technologies. You will be trained in the Hadoop software, architecture, MapReduce, HDFS, and various components like Pig, Hive, Sqoop, Flume and Oozie. You will be fully equipped in various test case scenarios, Proof of Concepts implementation and real world scenarios.

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
3 : Hadoop deployment modes and Hadoop Installation
  • Local/Standalone mode
  • Pseudo distributed mode
  • Fully distributed mode
  • Installing Hadoop in Pseudo distributed mode
5 : Introduction to Hive
  • Hive Introduction
  • Detailed understanding of Hive
  • Hive for relational data analysis
  • Data management with Hive
7.Introduction to Sqoop
  • Sqoop introduction
  • Installing Sqoop
  • Exploring Import, Export and other commands
  • Exercises
9:Dive deep into Pig
  • Writing UDFs and plug into Pig scripts
  • Performing multi-dataset operations
  • Extending Pig
  • Pig Jobs
2 : Hadoop architecture and Daemon services
  • Hadoop architecture
  • Name node
  • Data node
  • Secondary name node
  • Job tracker/Resource manager
  • Task tracker/Node manager
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
6 : Dive deep into Hive
  • Optimization of Hive
  • Extending Hive
  • Hands on Exercises 
  • UDF, query optimization
8 : Introduction to Pig
  • Pig Introduction
  • Installing Pig
  • Exploring standard functions
  • Exercises
10 : Introduction to HBase
  • Introduction to HBase
  • HBase installation
  • Exploring basic commands

Why Hadoop testing ? 

  • Hadoop Developers & Big Data
  • Quality Assurance, system administrators, tech support, & tester
  • A clear understanding of the Hadoop & Hadoop ecosystems
  • HDFS architecture, Datanode, Namenode, data replication, & flow of data
  • Master MapReduce concepts , Concurrency, Mapper, Reducer functions, Ordering & Shuffle