Hadoop Certification Training

Hadoop Certification Training

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Big Data Hadoop Certification is fast becoming the mandatory requirement for any IT professional. This course is designed by the industry Professionals. In this course we have included entire concepts that are required these days to be a performer in the industry.
The course covers topics like HDFS, MapReduce, YARN, Apache Pig and Hive etc. This course will help to you to become expert in Big data Hadoop. By the end of this training you will be able to apply in the Industry as Hadoop developer. No prerequisite programming knowledge is mandatory (though knowing a language would be advantageous). All concepts are backed by interesting hands-on projects

14,995.00

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Why should you take this course

A good way to enhance your skills which will help in carrer growth
Used by Million IT Professionals to develop/maintain applications
Increase in Average Salary of professionals

Instructor-led Hadoop Certification Training live online classes

September 19th

SAT & SUN (8 WEEKS)

Weekend Batch

Limited Seats

Timings - 08:00 PM to 11:00 PM (IST)

October 03rd

SAT & SUN (8 WEEKS)

Weekend Batch

Seats Available

Timings - 08:00 PM to 11:00 PM (IST)

October 24th

SAT & SUN (8 WEEKS)

Weekend Batch

Seats Available

Timings - 08:00 PM to 11:00 PM (IST)

Course Price at

14995

Hadoop Certification Training Course Curriculum

DOWNLOAD CURRICULUM

Introduction To Hadoop

  • What is Big Data?
  • Understanding Big Data Problem
  • Introduction to Hadoop
  • Parallel Computing vs Distributed Computing
  • How to install Hadoop on your system
  • How to install Hadoop cluster on multiple machines
  • Hadoop daemons introduction: NameNode, DataNode, JobTracker, TaskTracker

HDFS

  • HDFS - Why Another Filesystem?
  • Blocks
  • Working With HDFS
  • HDFS - Read & Write
  • HDFS - Read & Write (Program)

YARN

  • Introduction to YARN ( Hadoop 2.x.x )
  • Hadoop 1 Vs Hadoop 2
  • Hadoop 2 installation
  • Copy data from local file system to HDFS
  • Execute Hadoop job on YARN
  • Exploring HDFS/YARN/Job history UI

Apache Spark Basics

  • What is Apache Spark?
  • Starting the Spark Shell
  • Using the Spark Shell
  • Getting Started with Datasets and DataFrames
  • DataFrame Operations

Working with DataFrames and Schemas

  • Creating DataFrames from Data Sources
  • Saving DataFrames to Data Sources
  • DataFrame Schemas
  • Eager and Lazy Execution

Analyzing Data with DataFrame Queries

  • Querying DataFrames Using Column Expressions
  • Grouping and Aggregation Queries
  • Joining DataFrames

RDD Overview

  • RDD Overview
  • RDD Data Sources
  • Creating and Saving RDDs
  • RDD Operations

Transforming Data with RDDs

  • Writing and Passing Transformation Functions
  • Transformation Execution
  • Converting Between RDDs and DataFrames

Aggregating Data with Pair RDDs

  • Key-Value Pair RDDs
  • Map-Reduce
  • Other Pair RDD Operations

Querying Tables and Views with SQL

  • Querying Tables in Spark Using SQL
  • Querying Files and Views
  • The Catalog API

Working with Datasets in Scala

  • Datasets and DataFrames
  • Creating Datasets
  • Loading and Saving Datasets
  • Dataset Operations

Writing, Configuring, and Running Spark Applications

  • Writing a Spark Application
  • Building and Running an Application
  • Application Deployment Mode
  • The Spark Application Web UI
  • Configuring Application Properties

Spark Distributed Processing

  • Review: Apache Spark on a Cluster
  • RDD Partitions
  • Example: Partitioning in Queries
  • Stages and Tasks
  • Job Execution Planning
  • Example: Catalyst Execution Plan
  • Example: RDD Execution Plan

Distributed Data Persistence

  • DataFrame and Dataset Persistence
  • Persistence Storage Levels
  • Viewing Persisted RDDs

Common Patterns in Spark Data Processing

  • Common Apache Spark Use Cases
  • Iterative Algorithms in Apache Spark
  • Machine Learning
  • Example: k-means

Introduction to Structured Streaming

  • Apache Spark Streaming Overview
  • Creating Streaming DataFrames
  • Transforming DataFrames
  • Executing Streaming Queries

Structured Streaming with Apache Kafka

  • Overview
  • Receiving Kafka Messages
  • Sending Kafka Messages

Aggregating and Joining Streaming DataFrames

  • Streaming Aggregation
  • Joining Streaming DataFrames

Message Processing with Apache Kafka

  • What Is Apache Kafka?
  • Apache Kafka Overview
  • Scaling Apache Kafka
  • Apache Kafka Cluster Architecture
  • Apache Kafka Command Line Tools

Hadoop Certification Training Course Description

About the course
This course is designed by the industry Professionals. In this course we have included entire concepts that are required these days to be a performer in the industry.
The course covers topics like HDFS, MapReduce, YARN, Apache Pig, Spark and Hive etc. This course will help to you to become expert in Big data Hadoop. By the end of this training you will be able to apply in the Industry as Hadoop developer. No prerequisite programming knowledge is mandatory (though knowing a language would be advantageous). All concepts are backed by interesting hands-on projects

 

Course Objective

  • How the Apache Hadoop ecosystem fits in with the data processing lifecycle
  • How data is distributed, stored, and processed in a Hadoop cluster
  • How to write, configure, and deploy Apache Spark applications on a Hadoop cluster
  • How to use the Spark shell and Spark applications to explore, process, and analyze distributed data
  • How to query data using Spark SQL, DataFrames, and Datasets
  • How to use Spark Streaming to process a live data stream

 

Who should go for this course?
The course is designed for all those professionals who want to learn Big data Hadoop and to deal with huge Dataset.
• Software Developers
• Project Managers
• Software Architects
• Data Warehousing Professionals
• Data Analysts & Business Intelligence Professionals
• DBAs and DB professionals
• Testing professionals
• IBM Mainframe/ IBM midrange professionals
• Graduates looking to build a career in Big Data Field

Training Feature
• Instructor Led Session
• Industry Expert Instructor
• Assignments
• Real Life case Studies
• Life time Access
• Expert Support Team
• Certification

 

What are the pre-requisites for this course?
Anyone who has a good understanding of any one high-level programming language can join this training.

 

4. Reviews
a) this course was really great the one who explain was hard to understood but in general looks good

b) Thank you very much for this opportunity that you guys give us I learn a lot form this course

c) Course meets the expectations according to content.

d) it was a good tutorial

 

FAQs

1. What if I miss a class?
If you miss a class you can opt for below two options.
• As soon as class is over, we upload recorded session to your dedicated LMS. You can View the of the class available in your LMS.
• You can also attend same session in different batch if you wish.
2. Will I get Placement Assistance?
We have a dedicated Team for resume building and fetching Requirement from the market. This Team will help you in creating your profile and continuously send requirements there in the market.

3. Can I attend a Demo session before enrolment?
There will be 1 Demo session before Start of any batch as we have limited seats in batch so no demo sessions without enrolment after batch starts.

4. About Instructor
All Instructor are from Industry having at least 8-15 years of experience in relevant Technology. So all the concept delivered by Instructor will be explained relating to real time experience.

5. How to Ask queries?
Mostly you will get all relevant queries answered during live session only but if you queries remains unresolved or during practice if you come across any queries drop mail to queries@vittech.in. Also we can get Answer or our queries from Dedicated discussion forum.

6. What is duration of course?
Duration of Hadoop Certification Training is 8 Weeks however after completion of course you will have access of Training Material in our LMS.

7. Why Learn Hadoop online?

Although Traditional classroom-based training has proven to be successful, at the same time online learning learners have flexibility as far as schedule as concern. Can access study material anytime from anywhere. Learning does never stop. Lots of time saved and connect to best available Instructor available. Advancements in Technology have made it possible to enhance efficiency while you learn.

Hadoop Certification Training

Vittech’s Hadoop Certification Training Holder are working with Many Companies Like

LTI, Capgemini, Infosys, Mphasis, HSBC, Infosys, Accenture