loading......

coming soon

Coming Soon

We are in process of building the inventory of good professionals in this category

Got it!

Where do you need ?

location

Please select a Location.

Enquire

Submit your enquiry for Hadoop Training form Elegant It Services at Marathahalli

Please enter valid question or comment

Please enter your name.

Please enter valid email

Please enter valid Phone Number

Please enter the Pin Code.

By submitting, you agree to our Terms of use and Privacy Policy

Connect With Elegant IT Services

You have reached a limit!

We only allow 20 Tutor contacts under a category. Please send us an email at support@urbanpro.com for contacting more Tutors.

You Already have an UrbanPro Account

Please Login to continue

Please Enter valid Email or Phone Number

Please Enter your Password

Please Enter valid Password or OTP

Forgot Password? Resend OTP OTP Sent

Sorry, we were not able to find a user with that username and password.

We have sent you an OTP to your register email address and registered number. Please enter OTP as Password to continue

Further Information Received

Thank you for providing more information about your requirement. You will hear back soon from the trainer

Share

Hadoop Training form Elegant It Services at Marathahalli

Hadoop Training form Elegant It Services at Marathahalli

Malleshpalya, Bangalore

No Reviews Yet
0 Interested

About the Course


Experienced Trainer ,given lot of batches.

Topics Covered

Hadoop Developer Training

Introduction
Elegant IT Services, a Bay Area startup, provides professional Big Data services and facilitates the extraction of nuggets of information to support data-based decision making. We are Hadoop specialists and our specially trained professionals help our client’s tame Big Data challenges.

Course Objective Summary
During this course, you will learn:

• Introduction to Big Data and Hadoop
• Hadoop ecosystem - Concepts
• Hadoop Map-reduce concepts and features
• Developing the map-reduce Applications
• Pig concepts
• Hive concepts
• HBASE Concepts
• Mongo DB Concepts
• Sqoop Concepts
• Real Life Use Cases

Introduction to Big Data and Hadoop
• What is Big Data?
• What are the challenges for processing big data?
• What technologies support big data?
• What is Hadoop?
• Why Hadoop?
• History of Hadoop
• Use Cases of Hadoop
• Hadoop eco System
• HDFS
• Map Reduce
• Statistics

Understanding the Cluster
•?Typical workflow
• Writing files to HDFS
• Reading files from HDFS
• Rack Awareness
• 5 daemons

Let's talk Map Reduce
• Before Map reduce
• Map Reduce Overview
• Word Count Problem
• Word Count Flow and Solution
• Map Reduce Flow
• Algorithms for simple problems
• Algorithms for complex problems

Developing the Map Reduce Application
• Data Types
• File Formats
• Explain the Driver, Mapper and Reducer code
• Configuring development environment - Eclipse
• Writing Unit Test
• Running locally
• Running on Cluster
• Hands on exercises

c
• Anatomy of Map Reduce Job run
• Job Submission
• Job Initialization
• Task Assignment
• Job Completion
• Job Scheduling
• Job Failures
• Shuffle and sort
• Oozie Workflows
• Hands on Exercises
Map Reduce Types and Formats
• MapReduce Types
• Input Formats - Input splits & records, text input,binary input, multiple inputs & database input.
• Output Formats - text Output, binary output, multiple outputs, lazy output and database output
• Hands on Exercises.
Map Reduce Features
•?Counters
• Sorting
• Joins - Map Side and Reduce Side
• Side Data Distribution
• MapReduce Combiner
• MapReduce Partitioner
• MapReduce Distributed Cache
• Hands Exercises

Hive and PIG
• Fundamentals
• When to Use PIG and HIVE
• Concepts
• Hands on Exercises

HBASE
• CAP Theorem
• Hbase Architecture and concepts
• Programming and Hands on Exercises
Case Studies Discussions

Who should attend

All IT Guys

Pre-requisites

Basic Java

What you need to bring

Nothing

Key Takeaways

Handson ,Gud Knowledge
Reviews
There are no Reviews yet. Be the First to Review
Questions and Comments

Thousands of experts Tutors, Trainers & other Professionals are available to answer your questions

Comment ?

Questions Guidelines

  • Start your question with simple statements like "what", "when", "where", or "how".
  • Ensure your question or answer is not offensive or insensitive - it may be voted down or banned.
  • Please provide as much detail as possible as this will allow our members to better understand and respond to your question.
  • Take some time to categorize your question. This will greatly help other users find the question.


You can add upto 6 Images

Ask


There are no Reviews yet. Be the First to Review

Date and Time

Not decided yet.

About the Trainer


Good Experenced in Hadoop. We trained many students in our institute.Many people are placed in different companies.
Seats Left-

Students Interested 0

Course Id: 21916