Hadoop Training

(3) 3 Ratings

Course Schedule

30

JUL

Mon - Sat

07:30 PM - 10:00 PM ( IST )

06

AUG

Mon - Fri

11:00 AM - 02:00 PM ( IST )

11

AUG

Sat - Sun

05:30 AM - 06:30 AM ( IST )


Total Learners

1500 Learners


LMS Access

365 days

Course duration

30 days


Support

24/7 support

Can't find convenient schedule?

Our experts can help you find a batch that meets your needs

The Instructor for this course is from one of the Big5 Companies in the world.

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I agree to the Training T&C

Modes of Training

Corporate Training

Live, Classroom Or Self Paced Training

Online Classroom

Attend our Instructor Led Online Virtual Classroom

Self Paced Training

Comprehensive Recorded Videos by Experts to learn at your own pace

Course Features

Live Instructor-led Classes

This isn't canned learning. Its dynamic, its interactive, its effective

Expert Educators

Only the best or they're out. We are constantly evaluating our trainers

24&7 Support

We never sleep. Need something answered at 3 am? No Problem

Flexible Schedule

You don't learn as per our calendar. We work according to yours

☰ Details

Course Curriculum

Building Blocks of Hadoop - HDFS, MapReduce, and YARN

  • Course Overview
  • Introducing Hadoop
  • Installing Hadoop
  • Storing Data with HDFS
  • Processing Data with MapReduce
  • Scheduling and Managing Tasks with YARN 

Oozie Orchestration Framework

  • A Brief Overview Of Oozie
  • Oozie Install And Set Up
  • Workflows: A Directed Acyclic Graph Of Tasks
  • Coordinators: Managing Workflows
  • Bundles: A Collection Of Coordinators For Data Pipelines 

Basics of streaming

  • Apache Kafka architecture and key concepts
  • Apache Storm and key concepts
  • Stream Processing with Spark Streaming.

Working with Hive and Impala

  • Working with Hive and Impala 
  • Data Types in Hive 
  • Validation of Data 
  • What is Hcatalog and Its Uses.

Introduction to Big data and Hadoop Ecosystem

  • Introduction 
  • Overview to Big Data and Hadoop 
  • Hadoop Ecosystem 

HDFS and MapReduce Architecture

  • Core components of Hadoop
  • Understanding Hadoop Master-Slave Architecture
  • Learn about NameNode, DataNode, Secondary Node
  • Understanding HDFS Architecture
  • Anatomy of Read and Write data on HDFS
  • MapReduce Architecture Flow
  • JobTracker and TaskTracker.

Hadoop Configuration

  • Hadoop Modes
  • Hadoop Terminal Commands
  • Cluster Configuration
  • Web Ports
  • Hadoop Configuration Files
  • Reporting, Recovery
  • MapReduce in Action

Apache Pig

  • PIG vs MapReduce
  • PIG Architecture & Data types
  • PIG Latin Relational Operators
  • PIG Latin Join and CoGroup
  • PIG Latin Group and Union
  • Describe, Explain, Illustrate
  • PIG Latin: File Loaders & UDF.

Apache HBase

  • When/Why to use HBase
  • HBase Architecture/Storage
  • HBase Data Model
  • HBase Families/ Column Families
  • HBase Master
  • HBase vs RDBMS
  • Access HBase Data

NoSQL Databases

  • CAP theorem
  • RDBMS vs NoSQL
  • Key Value stores: Memcached, Riak
  • Key Value stores: Redis, Dynamo DB
  • Column Family: Cassandra, HBase
  • Graph Store: Neo4J
  • Document Store: MongoDB, CouchDB

Course Description

Who should take this Big Data Hadoop Online Training Course?

  • Experienced working professionals , Project managers
  • Mainframe Professionals, Architects & Testing Professionals.
  • Graduates, undergraduates eager to learn Big Data can take this Big Data Hadoop Certification online training.
  • Programming Developers and System Administrators.
  • Business Intelligence, Data warehousing and Analytics Professionals.

What skills will you learn with our Big Data Hadoop Certification Training?

  • Understand Hadoop Distributed File System (HDFS) and YARN architecture, and learn how to work with them for storage and resource management.
  • Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning.
  • Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark with this Hadoop course.
  • Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts.
  • Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution.
  • Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques.
  • Prepare for Cloudera CCA175 Big Data certification.

What are different job roles a Big Data Hadoop Trained professional is eligible?

The Job Roles that requires a Big Data Hadoop trained professionals are:

  • IT Developer professionals
  • Data scientists
  • Data engineers
  • Data analysts
  • Project managers
  • Program managers

FAQ

Do you have self paced training?

Yes, we offer self paced training

How do you provide training?

We offer three different modes of training. Instructor Led Live Training, Self Paced Training and Corporate Training

Do you offer any discounts?

Yes we offer discounts for group of 3 plus people.

Can I choose timings that suits my schedule?

Yes we are the only company where we work with students and offer flexible timings which fits your schedule

Who are the Instructors?

All our instructors are from MNC companies who have real time experience of more than 10 years.

Can I attend a demo session before joining?

Yes we offer a free demo session with the instructors. The trainer will answer all your queries and share the course agenda.

Course Reviews

Teja

One of the best course curriculum to learn big data and hadoop technology.I got to learn about the entire hadoop ecosystem and how various components in the ecosystem fit together based on the business use case. Thank you trainer.

Murthy

Trainer has provided us with good practice-oriented knowledge. We have gained good knowledge of Hadoop. In fact, I can say we are overloaded with knowledge. Thank you.

Karthik

The content and examples shared by trainer are very informative. Thank you.