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BIG DATA MAPREDUCE TRAINING

Learners: 289   |   Duration: 30 Hrs   |   Reviews 21 ( 4.0 )

MapReduce produces huge information on a group of PCs utilizing a parallel, appropriated calculation and accommodating adaptation to non-critical failure. In the event that Hadoop is the sensory system associating a wide range of servers together, then MapReduce is the mind creating and handling data into significant information


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About Mapreduce

GoLogica offers an extensive training for “Big Data Mapreduce”. The Mapreduce Online training is one of a kind where you would be given an in-depth knowledge on Mapreduce frameworks and various use cases pertaining to it. Basically Mapreduce is a programming tool for processing huge amounts of data with a parallel or distributed algorithm. As the name suggests, MapReduce model consist of two separate Functions, namely Map-function and Reduce-function.

Further an introduction to various components of hadoop like Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark is given. Understanding the Hadoop Distributed File System and explanation on how to work with them for storage and resource management is explained. Next up the Flume, its architecture and different flume configurations are explained.

MapReduce produces and processes huge information on a group of PCs utilizing a parallel, appropriated calculation and accommodating adaptation to non-critical failure. In the event that Hadoop is the sensory system associating a wide range of servers together, then MapReduce is the mind creating and handling data into significant information

What you will learn in BIG DATA MapReduce Training?

The primary target of MapReduce internet preparing system is to show members how to compose MapReduce programs, moving from easy to complex projects by degrees and with a lot of illustrations. It starts with the MapReduce establishment and design process and proceeds onward to hypothesis and practice. Portraying the information stream of the Mapper info and Reducer yield preparing, it gives the 10,000-foot view with respect to the ideas required in MapReduce. It discusses how the program oversees servers and how to connect with the MapReduce API. It demonstrates to oversee employment with the Hadoop CLI and screen them with MCS. It talks about how to function with various information sources on MapReduce and the conveyed store. It likewise incorporates the methods required in running numerous employments and tying.

Who should take BIG DATA MapReduce course?

Analytics Experts

Research Experts

IT Engineers and Analyzers

Project Managers

Information Scientists

Why should you go for BIG DATA MapReduce course?

As the number of associations attempting to tackle the energy of huge information preparing duplicates, the IT divisions are discovering that their centralized servers, intended for organized information, are not ready to deal with the surge of unstructured information. This reality is inciting a move to exceptional stages that can deal with big business workloads, which is the place MapReduce and Hadoop come in. MapReduce and Hadoop offer IT offices the capacity to deal with boundless simultaneous errands and gigantic preparing power with effectiveness and dependability. These are the instruments that are vital for crunching high volumes of unstructured information. In this way, engineers, information designers, database managers, and information examiners, specifically have much to pick up by acing MapReduce.

The normal pay of Hadoop designers working in the huge information industry has been accounted as $135,000. Exploit this worldwide move to huge information and enlist in MapReduce web-based preparing program today.


Salary as per Market

A Data analyst earns around $135,000

 

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Mapreduce Course Content

Hadoop Introduction
What is Hadoop? Why Hadoop? And Hadoop History?
Different types of Components in Hadoop?
HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on…
What is the scope of Hadoop?

Introduction of HDFS, Design, HDFS role in Hadoop and its Features
Daemons of Hadoop and its functionality
Name Node, Secondary Name Node
Job Tracker, Data Node, Task Tracker
Anatomy of File Wright and File Read
Network Topology, Nodes and Racks
Data Center
Parallel Copying using DistCp
Basic Configuration for HDFS
Data Organization
Blocks and Replication
Rack Awareness, Heartbeat Signal
How to Store the Data into HDFS and How to Read the Data from HDFS
Accessing HDFS (Introduction of Basic UNIX commands), CLI commands

The introduction of MapReduce, MapReduce Architecture
Data flow in MapReduce
Splits, Mapper, Portioning, Sort and shuffle
Combiner, Reducer
Understand Difference Between Block and InputSplit
Role of RecordReader
Basic Configuration of MapReduce and MapReduce life cycle
Driver Code, Mapper and Reducer
How MapReduce Works
Writing and Executing the Basic MapReduce Program using Java
Submission & Initialization of MapReduce Job.
File Input/Output Formats in MapReduce Jobs
Text, Key Value, Sequence File and NLine Input Format
Joins, Map-side and Reducer-side Joins
Word Count Example and Partition MapReduce Program
Side Data Distribution and Distributed Cache (with Program)
Counters (with Program)
Types of Counters: Task, Job Counters and User Defined Counters
Propagation of Counters, Job Scheduling

Introduction to PIG Data Flow Engine
MapReduce vs. PIG in detail
When should PIG use?
Data Types in PIG, Basic PIG programming
Modes of Execution in PIG: Local Mode and MapReduce Mode
Execution Mechanisms, Grunt Shell, Script
Embedded, Operators/Transformations in PIG
PIG UDF’s with Program
Word Count Example in PIG
The difference between the MapReduce and PIG

Use of SQOOP and its commands
Connect to mySql database
Import and Export
Eval, Codegen etc…
Joins in SQOOP
Export to MySQL and Export to HBase

HIVE Meta Store and HIVE Architecture
Tables in HIVE
Managed, External, Hive Data, Primitive and Complex Types
Partition
Joins in HIVE
HIVE UDF’s and UADF’s with Programs
Word Count Example

Basic Configurations of HBASE
Fundamentals of HBase
What is NoSQL?
HBase Data Model
Table and Row
Column Family and Column Qualifier
Cell and its Versioning
Categories of NoSQL Data Bases
Key-Value, Document and Column Family Database
HBASE Architecture, HMaster
Region Servers and Regions
MemStore and Store
SQL vs. NOSQL
How HBASE differs from RDBMS
HDFS vs. HBase
Client-side buffering or bulk uploads
HBase Designing Tables and Operations
Get, Scan, Put and Delete

Where to Use?
Configuration On Windows
Inserting the data into MongoDB?
Reading the MongoDB data
Downloading and installing the Ubuntu12.x
Installing Java and Hadoop
Creating Cluster, Increasing Decreasing the Cluster size and Monitoring the Cluster Health
Starting and Stopping the Nodes
Zookeeper, Introduction to Zookeeper
Data Modal, Operations
OOZIE
Introduction to OOZIE, Use of OOZIE and Where to use?
Flume, Introduction to Flume and Uses of Flume
Flume Architecture, Master, Collectors and Agents

 

To become a master in Mapreduce?  

Modes of Training

Self-Paced Learning

  • Any time Access to high quality pre-recorded Self faced training videos
  • Learning Management System (LMS) Access
  • Access to self based training materials Developed by Experts

Online Instructor LEAD

  • Online Training by Certified Industry Experts with live session
  • 24X7 Online Assessment and Support
  • 24X7 Lab Access
  • Lifetime LMS Access
  • Fast-track / Regular / Weekend Batches

Corporate Solutions

  • Self-Placed E-Learning and / Or Online Instructor Lead
  • Learning Management System access
  • Enhanced reporting for individuals & teams
  • 24X7 Online Assessment and Support

Faq’s

Our trainers are Highly experienced in BIG DATA MAPREDUCE implementing real-time solutions on different Scenarios and Expert in their professionals.

We record each LIVE class session you undergo through this training and we will share the recordings of each session/class.

Trainer will Provide Detailed installation of required software through LMS to the students we support by providing Training and practical in real time experience with all utilities required for completely understanding of this Training.

Yes, there are some group discount are available only if group contain more than 2 Or more participates.

Basic Hard ware requirement is useful to install the Product

We provide Training in a Real Time Projects Oriented

Yes we will Schedule a Demo Session as per the student convenient by sharing LIVE Online Streaming access either through GoToMeeting or WebEx.

If you are enrolled in classes and you have paid fees, but want to cancel the registration for certain reason, it can be done within 48 hours of initial registration. Please make a note that refunds will be processed within 15 days of prior request

As we are one of the Best BIG DATA MAPREDUCE Online Training Provider we have customer throughout the world wide specially from UK, USA, UAE, Australia, Qatar, Singapore, New Zealand, India, Malaysia, Dubai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland Middle East Countries and other parts of the world

We are also located in USA Offering BIG DATA MAPREDUCE Online Training in Cities like New York, New jersey, Dallas, Seattle, Baltimore, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, Washington DC, Chicago, Philadelphia, St. Louis, Edison, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Atlanta, Alexandria, Sunnyvale, Santa Clara, Carlsbad, San Marcos, Franklin, Tacoma, California, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert.

In Indian we have customer from Bangalore, Mysore, Hyderabad (Ameerpet), Visage, Chennai, Kolkata, Pune, Mumbai, Delhi, Jaipur, Ahmadabad, Kerala etc…

You can clarify your queries by dialing +91 - 82 9696 0414, +1 (646) 586 - 2969 Or you can send a mail to info@gologica.com. We are ready to clear your enquiries at any time

Mapreduce Course Certification

At the end of this course, you will receive a course completion certificate which certifies that you have successfully completed GoLogica training in MapReduce technology.

You will get certified in MapReduce by clearing the online examination with a minimum score of 70%.

To help you prepare for a certification exam, we shall provide you a simulation exam and a practice exam. 

 

Get ahead with GoLogica’s Certification  

Reviews

 

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Reviews


Komal Jain

Amazing course and it helped me complete my project works sooner and very useful course in my career.

Amruth A

The weekend programs are really amazing cause I m busy during weekdays. Really a Excellent website.

Akhillesh

This helped me to guide my team members in my current project.Really a useful course.

Khetan Jain

There are many other good website than this which gives much more knowledge about this course better.

Mary Jane

Excellent course and really guided me through this very clearly. Thanks to GoLogica.

Girish

BigData MapReduce course helps you be confident of your exploit and BigData MapReduce Course gives you a lot of every second opportunities dexterously, this wouldn’t have been realisable without the best set of people in the institution.

Nagendra Kumar

Their courses are all around organized and instructed by perceived experts which causes one to catch on quickly. I have observed the recordings to be of superb quality. Much appreciated

Umesh A

Very good content, the online training will provide a great insight for any beginner. Personally, a great experience looking forward to signing up for more courses soon.

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You’re the best gologica team. Your assistance was valuable to me. Without your help, I would not have possessed the capacity to ace the subject but rather you made the whole learning knowledge totally easy. Extraordinary work!

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Coach has a superb handy and practical learning which helped us understand the genuine situations from industry.

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I delighted in this course from the absolute first session. The substance guides you from the extremely essential methodology of the basics to the propelled dimension with reasonable learning in only a couple of long stretches of preparing

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Gologica really ensured that the trainers were having world-class industry experience in all the field. This made the learning experience that much more fruitful. Thanks, gologica!

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Training Mode

Course Duration - 30 hrs

Hours - 1hr/day

Training Mode - Online

Course Duration - 8 Weekends

Hours - 2hr/Day

Training Mode - Online

Course Duration - 15 Days

Hours - 2hr/Day

Training Mode - Online

Interview Questions

Demo Video