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Hadoop Testing Training

Hadoop Testing Training

About Hadoop Testing Training

Hadoop Testing Training provides the right skills to detect, analyze and rectify errors in the Hadoop framework. Get trained in the Hadoop Architecture, MapReduce, HDFS, and elements - Pig, Hive, Sqoop, Flume, etc. Practice various test cases, Proof of concepts implementation in real-world situations. This Training course is designed by industry experts to master testing methodologies.

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About Course

What is Hadoop Testing?

Testing of these datasets includes different devices, methods, and structures to process. Big Data identifies with Data creation, Storage, recovery, and investigation that is surprising as far as volume, assortment, and speed. By Hadoop Testing, we can recognize, examine and resolve the errors in Hadoop structure. Data which are stored in Hadoop should check that data if any faults are there should be resolve so testers can do this.  

What does a Hadoop Tester do? 

  • Responsible for constructing positive and negative test cases in Hadoop/Pig/Hive elements to arrest all bugs.
  • Report defects to the development team or manager and driving them to closure.
  • Consolidate all the defects and make defect reports

Why learn Hadoop Testing?

Hadoop is being organized across the board in enterprises around the world. With each passing day, the scale and complexities of the task that Hadoop big data is expected to achieve are getting larger.

With more and more Hadoop developers and Hadoop architects deployed on Hadoop projects, there's an equal and urgent necessity of Hadoop testers.

Hadoop Testing Professionals gets a very good salary with proper certification and skills. In the US a certified Hadoop testing professional gets an average salary of about $132,000 a year –

Companies have high demands for Testers for their products and applications, so the career opportunities for Hadoop Testers are also big in numbers.

This big data testing training can make sure that you gain the proper skills which are able to open up opportunities in the big data testing domain as a Hadoop Tester.

What you’ll learn in Big Data Hadoop Testing Training?

  • Understand the Hadoop and Hadoop ecosystems
  • HDFS architecture, the flow of data, data replication, Namenode, and Datanode
  • Master MapReduce concepts, mapper and Reducer functions, Concurrency, Shuffle, and Ordering
  • Unit Testing of Hadoop mapper on a MapReduce application
  • Deploy Pig for big data analysis and Hive for relational data analysis and test the application
  • Deep understanding of Hadoop Testing and the workflow method
  • Design, formulate and implement Hadoop test situations, test cases, and test scripts
  • Use of big data testing tools for detecting bugs and fixing it
  • Learn MR Unit framework for testing MapReduce jobs without Hadoop clusters
  • Get trained for the Cloudera Hadoop Certification

Who should take this course?

  •  Big Data and Hadoop professionals
  • Quality Assurance professionals
  • Hadoop developers and testers
  • Tech support personnel and system administrators
  • Those aspiring for a career in Big Data and Hadoop

Hadoop Testing Course Highlights

  • Introduction to Hadoop and its ecosystem, MapReduce and HDFS
  • Hands-on Exercises
  • MapReduce
  • Introduction to Pig & its features
  • Introduction to Hive
  • Hadoop Stack Integration Testing
  • Roles and Responsibilities of Hadoop Testing
  • Framework is known as MR Unit for Testing of MapReduce Programs
  • Unit Testing
  • Test Execution of Hadoop _customized
  • Test plan Strategy Test Cases of Hadoop Testing
  • Hadoop Testing projects
  • Working on real-life industry-based projects
  • Mock interview sessions, resume services and Interview questions to prepare you to attend interviews with confidence.
  • Access to the instructor through email to address any questions.


  • No prerequisite is required to learn Hadoop testing.
  • Having a basic knowledge of big data will help.

How EnhanceLearn Training can help you

  • 48 Hours of hands-on session per batch and once enrolled you can take any number of batches for 90 days
  • 24x7 Expert Support and GTA (Global Teaching Assistant, SME) support available even to schedule a one on one session for doubt clearing
  • Project Based learning approach with evaluation after each module
  • Project Submission mandatory for Certification and thoroughly evaluated
  • 3 Months Experience Certificate on successful project completion

For becoming a Big Data Hadoop Tester expert, choose our best Training and Placement Program. If you are interested in joining the EnhanceLearn team, please email at

Course Curriculum

Module 1: Introduction to Hadoop and its Ecosystem, MapReduce and HDFS

  • Introduction to Hadoop and its constituent ecosystem
  • Understanding MapReduce and HDFS, Big Data
  • Factors constituting Big Data
  • Hadoop and Hadoop Ecosystem
  • Map Reduce -Concepts of Map, Reduce, Ordering, Concurrency, Shuffle, Reducing, Concurrency
  • Hadoop Distributed File System (HDFS) Concepts and its Importance
  • Deep Dive in Map Reduce – Execution Framework, Partitioner, Combiner, Data Types, Key pairs
  • HDFS Deep Dive – Architecture
  • Data Replication, Name Node, Data Node, Data Flow,
  • Parallel Copying with DISTCP
  • Hadoop Archives

Module 2: MapReduce

  • How to develop Map Reduce Application
  • writing unit test
  • Best Practices for developing and writing
  • Debugging Map-Reduce applications

Module 3: Introduction to Pig & its features

  • What Is Pig?
  • Pig’s Features
  • Pig Use Cases
  • Interacting with Pig
  • Basic Data Analysis with Pig
  • Pig Latin Syntax
  • Loading Data
  • Simple Data Types
  • Field Definitions
  • Data Output
  • Viewing the Schema
  • Filtering and Sorting Data
  • Commonly-Used Functions
  • What Is Hive?
  • Hive Schema and Data Storage
  • Comparing Hive to Traditional Databases
  • Hive vs. Pig
  • Hive Use Cases
  • Interacting with Hive
  • Relational Data Analysis with Hive
  • Hive Databases and Tables
  • Basic HiveQL Syntax
  • Data Types
  • Joining Data Sets
  • Common Built-in Functions
  • Why Hadoop testing is important
  • Unit testing, Integration testing
  • Performance testing, Diagnostics
  • Nightly QA test, Benchmark and end to end tests
  • Functional testing
  • Release certification testing
  • Security testing
  • Scalability Testing
  • Commissioning and Decommissioning of Data Nodes Testing
  • Reliability testing
  • Release testing
  • Report defects to the development team or manager and driving them to closure
  • Consolidate all the defects and create defect reports
  • Validating new feature and issues in Core Hadoop
  • Responsible for creating a testing Framework called MR Unit for testing of MapReduce programs
  • Automation testing using the OOZIE
  • Data validation using the query surge tool
  • Test plan for HDFS upgrade
  • Test automation and result
  • Installing Hadoop in Pseudo Distributed Mode, Understanding Important configuration files, their Properties and Demon Threads
  • Accessing HDFS from Command Line
  • Map Reduce – Basic Exercises
  • Understanding Hadoop Eco-system
  • Installation to Sqoop, use cases
  • Introduction and Installation to Hive, use cases Introduction to Pig, use cases and Installation
  • Introduction and Installation to Oozie, use cases
  • Introduction and Installation to Flume, use cases
  • Introduction to Yarn
  • Working on Live Projects (as applicable)


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Hadoop Testing Training
Hadoop Testing Certificate
Job Overview
Key Features
Training FAQs
What is Hadoop Testing?

Big Data identifies with Data creation, Storage, recovery, and investigation that is surprising as far as volume, assortment, and speed. Testing of these datasets includes different devices, methods, and structures to process. By Hadoop Testing, we can recognize, examine and resolve the errors in Hadoop structure.

How Hadoop testing is different from other software testing?
What’s meant by input split?
How are Tasks and Jobs related to each other in Hadoop?
How am I able to debug my Hadoop code?
What are the objectives and learning outcomes of Hadoop testing training?
How can I execute the practical?
What kind of projects are included as part of the training?
Can I move from traditional software testing to Hadoop testing?
Do you provide demo sessions?
Who are our instructors?
What if I miss a training class or session?
How do you provide training?
Is it possible to switch from self-paced training to instructor-led training?
Is the training interactive, how will it help me to learn?
Will I get to work on a project for this Training?
Do you provide any certification?
How will I get my certificate?
What are the services you provide for job support after training?
Do you provide job placement assistance after the training?
What about the payment process to enroll with the Training?
I am an international student in USA looking for placement?
In how much time will I get a job, if I choose your placement service?
What if I have more queries?

More Questions? Request a call!

Manoj Prashad 
I am really happy with my experience with EnhanceLearn

I got what I was promised. Hadoop testing course content included all the important and new concepts of Hadoop testing and also projects. Trainers are experienced, friendly and clarified doubts. Learning Hadoop from EnhanceLearn was like a cake walk. This is the best platform to learn Hadoop testing fast and effectively. Keep it up EnhanceLearn.

Mehul Dyal 
Great trainers and support team.

Had a great Learning Experience on Hadoop testing. I can say without any doubt this is worth for your time, effort and money spent. The instructor was really industry expert. He helped us during the sessions to understand the concepts with real-world examples and not only in the sessions, but he also helped me in my projects. I am so much impressed by the instructor and support I got from EnhanceLearn team. Thanks a lot.

Gowri Sabharwal 
Career oriented training course!

I took up Hadoop testing course from EnhanceLearn. Very effective lectures. Had an excellent learning experience. Provided full support to achieve a good career growth in Hadoop testing. A big thanks to supporting team as well.

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