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Hadoop Testing Course

Hadoop Testing training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:Master the concepts of HDFS and MapReduce framework,Understand Hadoop 2.x Architecture

Hadoop Testing

Hadoop Testing Course Introduction

  • Hadoop Testing training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:
  • Master the concepts of HDFS and MapReduce framework
  • Understand Hadoop 2.x Architecture
  • Setup Hadoop Cluster and write Complex MapReduce programs
  • Learn data loading techniques using Sqoop and Flume
  • Perform data analytics using Pig, Hive and YARN
  • Implement HBase and MapReduce integration
  • Implement Advanced Usage and Indexing
  • Schedule jobs using Oozie
  • Implement best practices for Hadoop development
  • Work on a real life Project on Big Data Analytics
  • Understand Spark and its Ecosystem
  • Learn how to work in RDD in Spark

Who should go for this Hadoop Course?

Market for Big Data analytics is growing across the world and this strong growth pattern translates into great opportunity for all the IT Professionals.
Here are the few Professional IT groups, who are continuously enjoying the benefits moving into Big data domain:
1. Developers and Architects
2. BI /ETL/DW professionals
3. Senior IT Professionals
4. Testing professionals
5. Mainframe professionals
6. Freshers who are passionate about building successful career in Big Data

Why learn Hadoop?

CIOs are making Hadoop their platform of choice in 2016. For better career prospects, bigger job opportunities and financial growth, Hadoop is a must-know.
Check out these Edureka blogs to know why Hadoop training is critical:
How essential is Hadoop training?
Gartner Predicts How Big Data Can Lead Economic Growth

Hadoop Testing Training Curriculum

Software

• Creation of a Amazon Elastic Mapreduce instance.
• Cloudera VM.

Architecture

• Complete overview of system architecture, including data flow and components theory.
• Overview of HDFS, including basic commands to move data into and from HDFS.
• Overview of Mappers and Reducers.

HDFS

• Locating the blocks of data in hdfs.
• Learning to browse the hdfs file system using UI.

Map Reduce Jobs

• Running a map reduce code written in Java.
• Looking at the logs generated by the job.
• Interpreting the output messages printed by a job.
• Monitoring the progress if the hadoop jobs in the UI.
• Interpreting the output of the job

Hive

• Overview of HIVE architecture
• Hive Query Language
• Writing and running Hive queries on Hadoop

PIG

• Pig Architecture
• Pig Latin Language
• Writing and running Pig Latin scripts
• Difference between Pig and Hive.

POC and Lab Exercise

• End-End demonstration of a POC
• Instructions for implementing an exercise

Want to have a course urgently or on Fast track. We can arrange you for a specialised training aimed only for you. Please get in touch with us with your requirements by mail or just fill in the Batch Enquiry form. We will get in touch with you with the slot times and other details with in 24 hours

For Priority Training contact below
  • eITCafe: trainings@eitcafe.com
  • India: 040 6678 6677
  • US: 630-636-0198

Support services

We know how hard it can be to find and keep a job when there are so many other things to worry about. Our support team is here to help break down the barriers which are blocking your road to employment.
If you are a Working Chance candidate, please don’t hesitate to ask for advice or support on any issues which are affecting your chances of finding a job.
For further information, please email jobsupport@eitcafe.com our Support and Training Manager.

Job Preparation

• Assistance with learning job seeking skills
• Resume creation
• Master application completion
• Dressing for success
• Job interview preparation

Job Development

• Assistance with completing applications online or in person
• Job development online, on foot, networking events, job fairs and established employer relationships to locate available positions in your job goal
• Job leads and information on attending hiring events
• Follow-ups on applications placed to request interviews.

What is Hadoop Map Reduce ?

For processing large data sets in parallel across a hadoop cluster, Hadoop MapReduce framework is used.  Data analysis uses a two-step map and reduce process.

How Hadoop MapReduce works?

In MapReduce, during the map phase it counts the words in each document, while in the reduce phase it aggregates the data as per the document spanning the entire collection. During the map phase the input data is divided into splits for analysis by map tasks running in parallel across Hadoop framework.

Explain what is shuffling in MapReduce ?

The process by which the system performs the sort and transfers the map outputs to the reducer as inputs is known as the shuffle

Explain what is distributed Cache in MapReduce Framework ?

Distributed Cache is an important feature provided by map reduce framework. When you want to share some files across all nodes in Hadoop Cluster, DistributedCache  is used.  The files could be an executable jar files or simple properties file.

Explain what is NameNode in Hadoop?

NameNode in Hadoop is the node, where Hadoop stores all the file location information in HDFS (Hadoop Distributed File System).  In other words, NameNode is the centrepiece of an HDFS file system.  It keeps the record of all the files in the file system, and tracks the file data across the cluster or multiple machines

Key Features

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Overview of Course and Learning analytic’s

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Learn from Certified and Expert Trainers

Customized Course as per your requirement

24/7 online support for the course learners

High Quality E-learning Content for learning

videos

Access to the Recorded Sessions and classes

Flexible Course timing and Payment terms

Live Practical Oriented Approach for learners

Course Curriculam

Duration: 45 Days

Support: 24×7

Video: Yes

Hadoop Testing Certified Professional