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Hadoop Testing Training

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.

 

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Key  Highlights

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30 Hrs Instructor Led Training
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20 Hrs Project & Exercises
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Curriculum

A complete index of
job-ready skills curated
to meet the industrial need.
Explore.

Introduction to Hadoop and its Ecosystem, Map Reduce 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

  • 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

We have made a tailored curriculum covering the latest industry-ready concepts to serve every individual’s learning desires.

Hadoop Testing Training  Objectives

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.

contact us
+1 930 200 4823

Training  Options

Different individuals. Different upgrade goals. Different modes of learning.

We got solutions for everyone looking for an AWS Architect course. Opt in for your convenient upgrade option, and we will guide you through.

Duration
One-on-one Session
Support
Resources
Time
Fee

Live Online.

30 Hours
Yes
24x7
Additional tips from the trainer

24 Jan 2022, 07:00 AM IST

31 Jan 2022, 07:00 AM IST

 

Self-Paced

30 Hours
No
Weekdays & Working Hours
Accessible through LMS
At your convenience
 

Hadoop Testing Training Upcoming Batches

Weekday
24 Jan, 2022 - 24 Feb, 2022
01:30 AM IST
Weekday
31 Jan, 2022 - 03 Mar, 2022
01:30 AM IST
Weekend
29 Jan, 2022 - 01 Mar, 2022
02:30 AM IST
Weekend
22 Jan, 2022 - 22 Feb, 2022
02:30 AM IST
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Schedules Doesn't Suit You ?

Our Team can set up a batch at your convinient time.

Corporates  Training

Experience and witness the express transformation of your workforce from the world-class tech upgrade platform.

Customized training options

Tailored curriculum to fit your project needs.

Practical exposure is assured.

We have got everything covered for any IT upgrade for your organization. We are one click away.

Success Stories from Future Digital Leaders

tekslate-reviews
Overall, I had a very pleasant training experience.

Jessica

tekslate-reviews
I have taken a Hadoop testing training course in Tekslate. I started attending interviews since from the end of the training days. soon after completion of my course, I got placed. Thanks to Tekslate.

Kavitha

tekslate-reviews
Good for whom what to begin and understand Hadoop testing from the basic to advance.

Leela

Hadoop Testing Training  FAQ'S

Have questions? We’ve got the answers. Get the details on how you can grow in this course.

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. 

Join a Free Hadoop Testing Training  Demo Session

See if this course is a fit for you by joining us for an online info session. You’ll meet our team, get an overview of the curriculum and course objectives, and learn about the benefits of being a student at Tekslate

By providing us with your details, We wont spam your inbox.

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