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. You will be fully equipped in various test case scenarios, Proof of Concepts implementation and real world scenarios.
No prerequisite is required to learn Hadoop testing.
Topics: 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
Topics: 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, Mini Project – Importing Mysql Data using Sqoop and Querying it using Hive
Topics: How to develop Map Reduce Application, writing unit test, Best Practices for developing and writing, Debugging Map Reduce applications
Topics: 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, Hands-On Exercise: Using Pig for ETL Processing
Topics: 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, Hands-On Exercise: Running Hive Queries on the Shell, Scripts, and Hue
Topics: 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
Topics: 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, 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.
Topics: 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.
Topics: Automation testing using the OOZIE, Data validation using the query surge tool.
Topics: Test plan for HDFS upgrade, Test automation and result
Topics: How to test install and configure
Project 1 – Working with MapReduce, Hive, Sqoop
Problem Statement– It describes that 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 – Hadoop Testing using MR
Problem Statement – It describes how to test MapReduce codes with MR unit.
Hadoop Architect is a professional who organizes, manages and governs Hadoop on a very large cluster. The most important thing Hadoop Architect must have is rich experience in Hive, HBase, MapReduce, PIG and so on.
Hadoop Developers: Hadoop Developer is a person who just loves programming and he must have knowledge about Core, Java, SQL and other languages along with remarkable skills.
Hadoop QA Professional : Hadoop QA professional is a person who tests and rectify glitches in Hadoop
Hadoop Administrator: Hadoop Administrator is a person who admins Hadoop and its Data base system. He has a well and good understanding of Hadoop principles and its hardware systems.
Others: There can be some other jobs which could be assigned to some other professional as well. For example there can be a Hadoop trainer, Hadoop consultant, Hadoop engineers & also senior Hadoop engineers, big data Engineers, Hadoop developers and also Java Engineers (DSE Team).
In Intellipaat self-paced training program you will receive recorded sessions, course material, Quiz, related software’s and assignments.The courses are designed such that you will get real world exposure and focused on clearing relevant certification exam. After completion of training you can take quiz which enable you to check your knowledge and enables you to clear relevant certification at higher marks/grade also you will be able to work on the technology independently.
If you are looking for Hadoop Jobs and you are a Hadoop professional then there are a lot of jobs about Hadoop and related technologies. There are many companies like Google, Yahoo, Apple, Hortonworks, ebaY, Facebook, ORACLE, IBM, Microsoft, and CISCO which are looking for skilled professionals having experience in this field and are capable of managing the Big Data in their companies. If you are a professional of Hadoop then you could be one of them. These companies such as Google, Facebook, and ORACLE etc are looking for the Hadoop Professionals at different levels such as database Administrators, Hadoop Professionals having complete operational skills, Hadoop engineers & also senior Hadoop engineers, big data Engineers, Hadoop developers and also Java Engineers (DSE Team).
Research of IDC shows that the Big Data market revenue’s will grow at 31.7 percent a year and it will hit the $23.8 billion mark in 2016. According to the latest research by market the Hadoop and Big Data world widely is expected to growth about 13.9$ billion by 2017.
In Self-paced courses trainer is not available whereas in Online training trainer will be available for answering queries at the same time. In self-paced course we provide email support for doubt clearance or any query related to training also if you face some unexpected challenges we will arrange live class with trainer.
All Courses are highly interactive to provide good exposure. You can learn at your own place and at your leisure time. Prices of self-paced is training is 75% cheaper than online training. You will have lifetime access hence you can refer it anytime during your project work or job.
Yes, at the top of the page of course details you can see sample videos.
As soon as you enroll to the course, your LMS (The Learning Management System) Access will be Functional. You will immediately get access to our course content in the form of a complete set of previous class recordings, PPTs, PDFs, assignments and access to our 24×7 support team. You can start learning right away.
24/7 access to video tutorials and Email Support along with online interactive session support with trainer for issue resolving.
Yes, You can pay difference amount between Online training and Self-paced course and you can be enrolled in next online training batch.
Yes, we will provide you the links of the software to download which are open source and for proprietary tools we will provide you trail version if available.
Please send an email. You can also chat with us to get an instant solution.
Intellipaat verified certificates will be awarded based on successful completion of course projects. There are set of quizzes after each couse module that you need to go through . After successful submission, official Intellipaat verified certificate will be given to you.
Towards the end of the Course, you will have to work on a Training project. This will help you understand how the different components of course are related to each other.
Classes are conducted via LIVE Video Streaming, where you get a chance to meet the instructor by speaking, chatting and sharing your screen. You will always have the access to videos and PPT. This would give you a clear insight about how the classes are conducted, quality of instructors and the level of Interaction in the Class.
Yes, we do keep launching multiple offers, please see offer page.
We will help you with the issue and doubts regarding the course. You can attempt the quiz again.
This course is designed for clearing Cloudera Certification for Hadoop. At the end of the course there will be a quiz and project assignments once you complete them you will be awarded with Intellipaat Course Completion certificate. Become in demand with Intellipaat certifications
This course is designed for clearing Cloudera Certification for Hadoop. At the end of the course there will be a quiz and project assignments once you complete them you will be awarded with Intellipaat Course Completion certificate.
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