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Description

By taking Hadoop testing training from Tekslate,  you”ll become a master in Hadoop testing. This course will help you to detect, analyze, and rectify errors in the Hadoop framework. This course also covers major concepts like Hadoop software, Oozie, various components like Pig, Flume, architecture, HDFS, Hive, MapReduce, and Sqoop. Our curriculum is designed by industry experts based on real-time scenarios.  

Key Features

  • 30 hours of Instructor Led Hadoop Testing Training
  • Lifetime Access to Recorded Sessions
  • Practical Approach
  • 24/7 Support
  • Expert & Certified Trainers
  • Real World use cases and Scenarios
Trusted By Companies Worldwide

Course Overview

By the end of the Hadoop testing training, you will be able to:

  • Understand the Hadoop ecosystem and components.
  • Gain knowledge of HDFS architecture, flow of data, data replication, name and data nodes

  • Learn about MapReduce, the Map and Reduce functions, Concurrency, Shuffle, and Ordering

  • Perform unit tests on a MapReduce application

  • Deploy Pig for data analysis and Hive for relational data analysis

  • Understand Hadoop testing and the workflow process

  • Design, formulate, and implement test scenarios, test cases, and scripts

  • There is a huge requirement of skilled Hadoop testing and development profiles around the globe.

  • Top multinational companies are hiring certified Hadoop testing professionals worldwide

  • The average salary of a certified Hadoop testing professional is around $93,785 USD per annum.

  • Big Data developers

  • Hadoop developers

  • Quality assurance managers

  • Testers

  • Tech Support engineers

  • Aspirants who are willing to build their career in the administrative field.

There are no prerequisites for learning Hadoop testing course. The following job roles will get benefited by taking up this course:

  • System Administrators

  • Software developers

The tutor will take care of handling the projects. We will provide two real-time projects with a highly-skilled guide who can assist you throughout the project.

Course Curriculum

  • 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

  • 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

  • Introduction to Sqoop, use cases, and Installation

  • Introduction to Hive, use cases, and Installation

  • Introduction to Pig, use cases, and Installation

  • Introduction to Oozie, use cases, and Installation

  • Introduction to Flume, use cases and Installation

  • Introduction to Yarn

  • How to develop Map Reduce Application, writing a unit test

  • Best Practices for developing and writing, Debugging Map-Reduce applications

1. Introduction to Pig

  • What Is Pig?

  • Pig’s Features

  • Pig Use Cases

  • Interacting with Pig

2. 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

  • Hands-On Exercise: Using Pig for ETL Processing

Introduction to Hive

  • What Is Hive?

  • Hive Schema and Data Storage

  • Comparing Hive to Traditional Databases

  • Hive vs. Pig

  • Hive Use Cases

  • Interacting with Hive

2. Relational Data Analysis with Hive

  • Hive Databases and Tables

  • Basic HiveQL Syntax

  • Data Types

  • Joining Data Sets

  • Common Built-in Functions

  • Hands-On Exercise: Running Hive Queries on the Shell, Scripts, and Hue

  • 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

  • Understanding the Requirement, preparation of the Testing Estimation, Test Cases, Test Data, Testbed creation, Test Execution, Defect Reporting, Defect Retest, Daily Status report delivery, Test completion.

  • ETL testing at every stage (HDFS, Hive, HBase) while loading the input (logs/files/records etc) using sqoop/flume which includes but not limited to data verification, Reconciliation.

  • User Authorization and Authentication testing (Groups, Users, Privileges etc)

  • 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.

  • 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 Map-Reduce programs.

  • Automation testing using the OOZIE.

  • Data validation using the query surge tool.

  • Testplan for HDFS upgrade

  • Test automation and result

  • How to test install and configure

FAQ's

Our trainers are well experienced professionals and certified in working with front-end development technologies.

We will record all the Live sessions you go through, and we will send the recording of the class you missed.

For practical execution, our trainer will provide server access to the student. 

All our training classes are live. This is to solve all the student queries directly with the trainer.

Live online training means, our trainer will be in online with you to solve your issues.
Pre-recorded training means, there will be no trainer available to solve your issues.

You can contact our Tekslate support team, or you can send an email to info@tekslate.com for your queries.

Yes, you can access the course material after completing course by the recorded training videos we shared with you during training.

To avail all discounts offered by Tekslate, you need to visit the website regularly. However, there will be a group discount for 2 or more participants.

Yes, you will get your refund by cancelling some administration fee from the course. But, you should cancel your enrolment within 48 hours of registration, and then the refund will be retained within 30 days of a request.

Certifications

Certification is a matter of demonstrating your skills and establishing your credibility. Having a Hadoop testing Certification proves that the candidate has a strong foundation and expertise in implementing asset management techniques using Hadoop testing, and also helps to land in a better job in your career. Tekslate will provide you with a course completion certificate after you complete the course.