Who should attend
- Big Data and Hadoop Developers
- Quality Assurance, Tester, Tech Support and System Administrators
What are the prerequisites for learning Hadoop testing?
No prerequisite is required to learn Hadoop testing.
About the course
Our Hadoop testing training lets you master the Hadoop testing. We provide the best online classes to help you learn the technique of functional and performance testing in order to detect, analyze and rectify errors in Hadoop and various test case scenarios. You will also get to work on real-world industry projects.
About Big Data and Hadoop Testing Course
This Hadoop testing training will provide you with the right skills to detect, analyze and rectify errors in Hadoop framework. You will be trained in the Hadoop software, architecture, MapReduce, HDFS and various components like Pig, Hive, Sqoop, Flume and Oozie. With this Hadoop testing training you will also be fully equipped with experience in various test case scenarios, proof of concepts implementation and real-world scenarios.
What will you learn in this Hadoop testing training?
- A clear understanding of the Hadoop and Hadoop ecosystems
- HDFS architecture, flow of data, data replication, name node and data node
- 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 process
- Design, formulate and implement Hadoop test scenarios, test cases and test scripts
- Using Big Data testing tools for detecting bugs and rectifying it
- MRUnit framework for testing MapReduce jobs without Hadoop clusters
- Get trained for the Cloudera Hadoop Certification
Why should you take up Hadoop testing online training course?
- Global Hadoop market to reach $84.6 billion in 2 years – Allied Market Research
- The number of jobs for all USA data professionals will increase to 2.7 million per year – IBM
- Hadoop Testing Professionals in the US can get a salary of $132,000 – indeed.com
Hadoop is being deployed 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 is getting bigger. With more and more Hadoop developers and Hadoop architects deployed on Hadoop projects, there is an equal and urgent necessity of Hadoop testers. This Big Data and Hadoop testing training will ensure that you gain the right skills which will open up opportunities in the Big Data testing domain as a Hadoop Tester.
Hadoop Testing Course Content
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, MapReduce: concepts of Map, Reduce, ordering, concurrency, shuffle and reducing, Hadoop Distributed File System (HDFS) concepts and its importance, deep dive into MapReduce, execution framework, partitioner, combiner, data types, key pairs, HDFS deep dive: architecture, data replication, name node, data node, dataflow, parallel copying with DISTCP and Hadoop archives
Installing Hadoop in pseudo-distributed mode, understanding important configuration files, their properties and Demon Threads, accessing HDFS from Command Line, MapReduce: basic exercises, understanding Hadoop ecosystem, 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 and introduction to YarnMini Project:
Importing MySQL data using Sqoop and querying it using Hive
How to develop a MapReduce application, writing unit test, the best practices for developing and writing and debugging MapReduce applications
Introduction to Pig and 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 and 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, relational data analysis with Hive, Hive databases and tables, Basic HiveQL Syntax, data types, joining data sets and common built-in functions
Hands-on Exercise: Running Hive queries on the Shell, Scripts and Hue
Hadoop Stack Integration Testing
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 and release testing
Roles and Responsibilities of Hadoop Testing
Understanding the requirement, preparation of the testing estimation, test cases, test data, test bed creation, test execution, defect reporting, defect retest, daily status report delivery, test completion, ETL testing at every stage (HDFS, Hive and 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 and validating new feature and issues in core Hadoop
Framework Called MRUnit for Testing of MapReduce Programs
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 and responsible for creating a testing framework called MRUnit for testing of MapReduce programs
Automation testing using the Oozie and data validation using the query surge tool
Test Execution of Hadoop: Customized
Test plan for HDFS upgrade and test automation and result
Test Plan Strategy Test Cases of Hadoop Testing
How to test install and configure
Hadoop Testing Projects
What projects I will be working on this Hadoop Testing training?
Project 1: Working with MapReduce, Hive and Sqoop
Problem Statement: It describes how to import MySQL data using Sqoop and querying it using hive and also describes how to run the word count MapReduce job.
Project 2: Testing Hadoop Using MRUnit
Problem Statement: How to test the Hadoop application using MRUnit testing
Topics: This project involves working with MRUnit for testing the Hadoop application without spinning a cluster. You will learn how to do the map and reduce test in an application.
- Hadoop testing in isolation using MRUnit
- Craft the test input and push through mapper and reducer
- Deploy MapReduce driver
Hadoop Testing Certification
This course is designed for clearing the Intellipaat Hadoop Testing Certification. The entire training course content has been designed by industry professionals in order to help you get the best jobs in the top MNCs. As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast track your career effortlessly.
At the end of this training program, there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and help you score better marks.
The certification will be awarded upon the completion of the project work (after expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
An experienced Blockchain Professional who has been bringing integrated Blockchain, particularly Hyperledger and Ethereum, and Big Data solutions to the cloud, David Callaghan has previously worked on Hadoop, AWS Cloud, Big Data and Pentaho projects that have had major impact on revenues of marqu...
A Senior Software Architect at NextGen Healthcare who has previously worked with IBM Corporation, Suresh Paritala has worked on Big Data, Data Science, Advanced Analytics, Internet of Things and Azure, along with AI domains like Machine Learning and Deep Learning. He has successfully implemented ...
Videos and materials
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.