Hadoop Training in Hyderabad

ABOUT THE COURSE :

RS Trainings is a One of the best quality training center for online, Classroom and Corporate trainings In Hyderabad . We are providing training through world wide. Rstrainings is excellent Hadoop training center in Hyderabad.After course we will give support for certification, Resume preparation and how to prepare for interviews

      
Who Can Learn :

• Professionals in Testing field
• Software Developers
• Professionals from Analytics background
• Datawarehousing Professionals
• Professionals from SAP BI background.

With the growing era of technology and need to constantly update oneself to outstand in the competitive market, RS Trainings has come to existence to provide people the knowledge about the latest trends in technology . We provide a team of trainers who will put across a thorough and detailed idea about the respective technical courses that you wish to explore .

Our work doesnot end here. RS Trainings gives an opportunity to work on real time projects which would be guided by our real time trainers. A technical back end team would always be available to answer your queries at any point of time and will also assist you to arrange your training sessions

More Course Information:

   In RS Trainings all trainers are well experts and providing training with practically..Here we are teaching from basic to advance. Our real time trainers fulfill your dreams and create professionally driven environment. In Hadoop training we are providing sample live projects, materials, explaining real time scenarios, Interview skills…We are providing Best Hadoop Training in Hyderabad, India

Why RStrainings ?

                           RS Trainings is a best training center for Hadoop given corporate trainings to different reputed companies. In Hadoop training all sessions are teaching with examples and with real time scenarios. We are helping in real time how approach job market, Resume preparation, Interview point of preparation, how to solve problem in projects in job environment, information about job market etc. Training also providing classroom Training in Hyderabad and online from anywhere. We provide all recordings for classes, materials, sample resumes, and other important stuff. Hadoop Online Training We provide Hadoop online training through worldwide like India, USA, Japan, UK, Malaysia, Singapore, Australia, Sweden, South Africa, and etc. Hadoop Corporate Training RStrainings providing corporate training world wide depending on Company requirements with well experience real time experts.

  

COURSE CONTENT :

4 V's of BIG DATA(IBM Definition of BIG DATA)

What is Hadoop?

Why Hadoop?

Core Components of Hadoop

Intro to HDFS and its Architecture

Difference b/w Code Locality and Data Locality

HDFS commands

Name Node’s Safe Mode

Different Modes of Hadoop

Intro to MAPREDUCE

Versions of HADOOP

What is Daemon?

Hadoop Daemons?

What is Name Node?

What is Data Node?

What is Secondary name Node?

What is Job Tracker?

What is Task Tracker?

What is Edge computer in Hadoop Cluster and Its role

Read/Write operations in HDFS

Complete Overview of Hadoop1.x and Its architecture

Rack awareness

Introduction to Block size

Introduction to Replication Factor(R.F)

Introduction to HeartBeat Signal/Pulse

Introduction to Block report

MAPREDUCE Architecture

What is Mapper phase?

What is shuffle and sort phase?

What is Reducer phase?

What is split?

Difference between Block and split

Intro to first Word Count program using MAPREDUCE

Different classes for running MAPREDUCE program using Java

Mapper class

Reducer Class and Its role

Driver class

Submitting the Word Count MAPREDUCE program

Going through the Jobs system output

Intro to Partitioner with example

Intro to Combiner with example

Intro to Counters and its types

Different types of counters

Different types of input/output formats in HADOOP

Use cases for HDFS & MapReduce programs using Java

Single Node cluster Installation

Multi Node cluster Installation

Introduction to Configuration files in Hadoop and Its Imp.

Complete Overview of Hadoop2.x and Its architecture

Introduction to YARN

Resource Manager

Node Manager

Application Master(AM)

Applications Manager(AsM)

Journal Nodes

Difference Between Hadoop1.x and Hadoop2.x

High Availability(HA)

Hadoop Federation

The difference between MAPREDUCE and PIG

When to go with MAPREDUCE?

When to go with PIG?

PIG data types

What is field in PIG?

What is tuple in PIG?

What is Bag in PIG?

Intro to Grunt shell?

Different modes in PIG

Local Mode

MAPREDUCE mode

Running PIG programs

PIG Script

Intro to PIG UDFs

Writing PIG UDF using Java

Registering PIG UDF

Running PIG UDF

Different types of UDFs in PIG

Word Count program using PIG script

Use cases for PIG scripts

Intro to HIVE

Why HIVE?

History of HIVE

Difference between PIG and HIVE

HIVE data types

Complex data types

What is Metastore and its importance?

Different types of tables in HIVE

Managed tables

External tables

Running HIVE queries

Intro to HIVE partitions

Intro to HIVE Buckets

How to perform the JOINS using HIVE queries

Intro to HIVE UDFs

Different types of UDFs in HIVE

Running HIVE queries for Word Count example

Use cases for HIVE

Intro to Flume

Intro to Sink, Source, Flume Master and Flume agents

Importance of Flume agents

Live Demo on copying LOG DATA into HDFS

Intro to Sqoop

Importing and exporting the RDBMS into HDFS

Intro to incremental imports and its types

Use cases to import the Mysql data into HDFS

Intro to Zookeeper

Zookeeper operations

Intro to Oozie

What is Job.properties

What is workflow.xml

Scheduling the jobs in Oozie

Scheduling MapReduce, HIVE,PIG jobs/Programs using Oozie.

Setting up the VMware for Hadoop

Installing all Hadoop Components

Intro to Hadoop Distributions

Intro to Cloudera and its major components

What is Spark Ecosystem

What is Scala and its utility in Spark

What is SparkContext

How to work on RDD in Spark

How to run a Spark Cluster

Comparison of MapReduce vs Spark

Tableau Fundamentals

Tableau Analytics

Visual Analytics

Connecting

Hadoop Integration with Tableau

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