Brand Waali Quality, Bazaar Waali Deal!
Impact@Snapdeal
Gift Cards
Help Center
Sell On Snapdeal
Download App
Cart
Sign In
Home

Sorry! Big Data and Hadoop Live Instructor Led Training Course with Lifetime Validity by Edureka is sold out.

Compare Products
Clear All
Let's Compare!
Hover to zoom
Sold Out!

Big Data and Hadoop Live Instructor Led Training Course with Lifetime Validity by Edureka

This product has been sold out
Be the first to review
Have a question?
pay
Rs  21,995
Batches :
Batch 1
Batch 10
Batch 2
Batch 3
Batch 4
Batch 5
Batch 6
Batch 7
Batch 8
Batch 9
We will let you know when in stock
notify me

Featured

Highlights

  • Delivery via E-mail
    Non-Cancellable
    No Physical Dispatch
  • Stream:Hadoop
  • Language:English
  • Duration:5 Weeks For queries and concerns drop an email to learning@snapdeal.com
  • SUPC: SDL970811416

Other Specifications

Other Details
Country of Origin or Manufacture or Assembly India
Common or Generic Name of the commodity Courses & Certifications
Manufacturer's Name & Address
Packer's Name & Address
Marketer's Name & Address
Importer's Name & Address

Description

Upcoming Batches :
Batch STARTS DURATION DAYS TIME
Batch 1 30-May 5 Week Sat,Sun 07:00 AM-10:00 AM
Batch 2 30-May 5 Week Sat, Sun 08:30 PM-11:30 PM
Batch 3 01-Jun 15 Days Mon-Fri 08:30 PM-10:30 PM
Batch 4 27-Jun 5 Week Mon-Fri 08:30 PM-10:30 PM
Batch 5 29-Jun 15 Days Mon-Fri 08:30 PM-10:30 PM

Detailed Product Description: 
Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of core concepts will be covered in this course along with implementation on varied industry use-cases.

Certification in this course can help you in a number of future prospects. It will be a proof of very good hands on experience to work on a Live Hadoop project.

Why learn Big Data and Hadoop?

Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in 2015. Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals.

Course Objectives
At the end of the course, participants should be able to:
1. Master the concepts of HDFS and MapReduce framework
2. Understand Hadoop 2.x Architecture
3. Setup Hadoop Cluster and write Complex MapReduce programs
4. Learn the data loading techniques using Sqoop and Flume
5. Perform Data Analytics using Pig, Hive and YARN
6. Implement HBase and MapReduce Integration
7. Implement Advanced Usage and Indexing
8. Schedule jobs using Oozie
9. Implement best Practices for Hadoop Development
10. Work on a Real Life Project on Big Data Analytics

For whom?
Predictions say 2015 will be the year Hadoop finally becomes a cornerstone of your business technology agenda. To stay ahead in the game, Hadoop has become a must-know technology for the following professionals:
1. Analytics Professionals
2. BI /ETL/DW Professionals
3. Project Managers
4. Testing Professionals
5. Mainframe Professionals
6. Software Developers and Architects
7. Graduates aiming to build a career in Big Data

How to execute practical?
For doing the practical you will be aided in setting up Edurekas Virtual Machine in your System with local access. The detailed installation guides are provided in the LMS for setting up this environment. In case your system doesnt meet the pre-requisites e.g. 4GB RAM, you will be provided remote access to the Edureka cluster for the practical.

Missed a session! Don’t worry. You will never lose any lecture. You can choose either of the two options and continue learning: 1. View the recorded session of the class available in your LMS
2. You can attend the missed session, in any other live batch.

Know your Instructors:
Live online classes are conducted by working professionals from the Industry who have at least 10-12 years of relevant experience in various domains. They are subject matter experts and are well trained for providing online training so that participants get a great learning experience.

Course Duration:
There are 2 types of batches i.e. Weekdays (15 days duration) or Weekends (5 weeks duration). You may choose a batch as per your convenience

Content Outline (No. of Chapters/Modules):
30 Hours Live Instructor Led Classes (10 Topics) + 40 Hours Assignments + 20 Hours Project

Pre-requisites:
Knowledge of core java concepts is the pre-requisite for this course. We provide a complimentary course i.e. "Java Essentials for Hadoop" to all the participants who enroll for the Hadoop Training.

Course Curriculum (Structure):
1. Understanding Big Data and Hadoop Topics - Big Data, Limitations and Solutions of existing Data Analytics Architecture, Hadoop, Hadoop Features, Hadoop Ecosystem, Hadoop 2.x core components, Hadoop Storage: HDFS, Hadoop Processing: MapReduce Framework, Anatomy of File Write and Read, Rack Awareness.

2. Hadoop Architecture and HDFS Topics - Hadoop 2.x Cluster Architecture - Federation and High Availability, A Typical Production Hadoop Cluster, Hadoop Cluster Modes, Common Hadoop Shell Commands, Hadoop 2.x Configuration Files, Password-Less SSH, MapReduce Job Execution, Data Loading Techniques: Hadoop Copy Commands, FLUME, SQOOP.

3. Hadoop MapReduce Framework - I Topics - MapReduce Use Cases, Traditional way Vs MapReduce way, Why MapReduce, Hadoop 2.x MapReduce Architecture, Hadoop 2.x MapReduce Components, YARN MR Application Execution Flow, YARN Workflow, Anatomy of MapReduce Program, Demo on MapReduce.

4. Hadoop MapReduce Framework - II Topics - Input Splits, Relation between Input Splits and HDFS Blocks, MapReduce Job Submission Flow, Demo of Input Splits, MapReduce: Combiner & Partitioner, Demo on de-identifying Health Care Data set, Demo on Weather Data set.

5. Advance MapReduce Topics - Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format.

6. Pig Topics - About Pig, MapReduce Vs Pig, Pig Use Cases, Programming Structure in Pig, Pig Running Modes, Pig components, Pig Execution, Pig Latin Program, Data Models in Pig, Pig Data Types. Pig Latin : Relational Operators, File Loaders, Group Operator, COGROUP Operator, Joins and COGROUP, Union, Diagnostic Operators, Pig UDF, Pig Demo on Healthcare Data set.

7. Hive Topics - Hive Background, Hive Use Case, About Hive, Hive Vs Pig, Hive Architecture and Components, Metastore in Hive, Limitations of Hive, Comparison with Traditional Database, Hive Data Types and Data Models, Partitions and Buckets, Hive Tables(Managed Tables and External Tables), Importing Data, Querying Data, Managing Outputs, Hive Script, Hive UDF, Hive Demo on Healthcare Data set.

8. Advance Hive and HBase Topics - Hive QL: Joining Tables, Dynamic Partitioning, Custom Map/Reduce Scripts, Hive : Thrift Server, User Defined Functions. HBase: Introduction to NoSQL Databases and HBase, HBase v/s RDBMS, HBase Components, HBase Architecture, HBase Cluster Deployment.

9. Advance HBase Topics - HBase Data Model, HBase Shell, HBase Client API, Data Loading Techniques, ZooKeeper Data Model, Zookeeper Service, Zookeeper, Demos on Bulk Loading, Getting and Inserting Data, Filters in HBase.

10. Oozie and Hadoop Project Topics - Flume and Sqoop Demo, Oozie, Oozie Components, Oozie Workflow, Scheduling with Oozie, Demo on Oozie Workflow, Oozie Co-ordinator, Oozie Commands, Oozie Web Console, Hadoop Project Demo.

 

Which Case-Studies will be a part of the Course?

At the end of the course, you will be working on a live project :

Project Title : Analyzing the telecom data to minimize churn out.

Industry : Telecom Data : It is in the form of a CDR (Call Details Record) file.

Problem Statement : Find out top 10 customers facing frequent call drops in Roaming. This is a significant report used frequently by telecom companies to prevent customer churn out. This is done by retargeting the customers through different follow-ups and at the same time contacting their roaming partners to improve the connectivity issues in specific areas.

 

USP of the product:

• Learn Anytime, Anywhere
• Live Interactive Sessions
• 24*7 Support
• View the recorded session of the class
• Attend the missed session, in any other live batch
• Reschedule classes
• Best in industry instructors
• Lifetime course material availability

Certification Details (with Sample Certificate):
At the end of your course, you will work on a real time Project. You will receive a Problem Statement along with a dataset to work. Once you are successfully through the project(Reviewed by an Expert), you will be awarded a certificate with a performance-based grading. If your project is not approved in 1st attempt, you can take extra assistance for any of your doubts to understand the concepts better and re-attempt the Project free of cost.

How to use? (Steps to use Study Material):
1. Purchase course on Snapdeal
2. Receive User ID and Password of LMS account from Edureka
3. Schedule lectures from the given slots of batches
4. Start learning

To get more information, you may want to watch the video below


FAQs

Here you can have a look at our frequently asked questions. We have put together some simple answers you may, Click here to take a look!

Learn Everything, Anywhere, Anytime
India's Largest Online Education Marketplace

Terms & Conditions

The images represent actual product though color of the image and product may slightly differ.

Quick links

Seller Details

View Store

edureka!
New Seller
Expand your business to millions of customers
Sell this item on Snapdeal
Sold by
edureka!
New Seller
View Store
Sell on Snapdeal
Explore MoreProfessional Courses & Certifications
More Professional Courses & Certifications From Edureka
In Same Price

100% Secure Payments

All major credit & debit

cards accepted

TrustPay

100% Payment Protection. Easy

Return Policy

Help Center

Got a question? Look no further.

Browse our FAQs or submit your query here.

Shop on the Go

Download the app and get exciting

app only offers at your fingertips
Policy Info
Company
Snapdeal Business
Popular Links
Subscribe

Register now to get updates on promotions and

coupons. Or Download App

Payment

Connect

Copyright © 2021, Snapdeal Limited. All Rights Reserved
Made for Bharat