BigData

BigData
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BigData

Hadoop and BigData

Topics:
  • Big Data Introduction (6W Tag).
  • Hadoop Introduction.
  • 3V’s of Hadoop.
  • Hadoop Distributed File System (HDFS) and MapReduce.
  • How Hadoop is different from Traditional System.
  • Typical Industry Workflow in Hadoop.
  • Distributions of Hadoop.
  • Technologies/Component associated with Hadoop – A general introduction
  • Machine Requirements, VM Setup and other required softwares

Hadoop Architecture

Topics:
  • Architecture of Hadoop.
  • Features the Hadoop Distributed File System (HDFS)
  • NameNode
  • DataNode
  • Secondary NameNode
  • YARN
  • MapReduce Framework
  • Job Tracker
  • Task Tracker
  • Node Manager
  • Resource Manager
  • Container
  • Data Type
  • Input & Output Formats
  • Replication Factor
  • Blocks Size
  • Input Split
  • Heartbeat Mechanism
  • Data Organization

Linux and Hadoop Commands

Topics:
  • Basic Linux Commands
  • Hadoop Commands

MapReduce Framework

Topics:
  • MapReduce Introduction
  • Framework of Mapreduce (Driver, Mapper, Reducer)
  • Writing MapReduce Job.
  • Hello World Program for MapReduce

Project : MapReduce program for WhatsApp Message Analytics

Apache SQOOP

Topics:
  • Apache SQOOP Introduction.
  • Components/Generic arguments of Sqoop.
  • Flow of Sqoop arguments.
  • Writing Sqoop Job.
  • Different Data Sources.
  • Sqooping the data from RDBMS.
  • Sqoop Export
  • Sqoop Hive Import

Apache HIVE

Topics:
  • Introduction to Apache HIVE.
  • Architecture of Apache HIVE.
  • Basics of SQL.
  • Data Types
  • Types of Tables in HIVE.
  • Creation of Databases/Table/Views/Indexes.
  • Loading of Data in HIVE Tables.
  • Frequently used commands.
  • Creation of Joins in HIVE
  • Partitioning and Bucketing in HIVE
  • Project : Analytical Project involving all the concepts of HIVE.

Apache PIG

Topics:
  • Introduction to Apache Pig
  • PigLatin Language
  • Architecture of Apache PIG
  • Transformation and Action in PIG
  • Statement Execution Steps.
  • Data Types
  • Loading data files for ETL
  • Writing queries – SPLIT, FILTER, JOIN, GROUP, SAMPLE, ILLUSTRATE etc.
  • Multi Query Execution
  • Project : ETL operations in PIG involving all the concepts.

Apache FLUME or HCatalog

Topics:
  • Introduction to Apache Flume
  • Features of Apache Flume
  • Difference in Apache Flume and Apache Sqoop
  • Components of Apache Flume (Agent, Source, Channel and Sink)
  • Flume Use Cases
  • Introduction to Hcatalog
  • Uses of HCatalog
  • Connect Apache PIG and Apache HIVE with HCatalog.

Apache Spark with Scala

Topics:
  • Introduction to Apache Spark.
  • Architecture of Apache Spark.
  • How Spark is different from MapReduce.
  • Modules in Apache Spark.
  • Introduction to Scala IDE and SBT.
  • Working with RDD.
  • Working with Dataframe.
  • Spark SQL.
  • User Defined Function
  • Projects : SparkSQL analytics by using Dataframe and UDF.

What if I miss a class?

You will never lose any lecture. You can choose either of the two options:

  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch.

What is duration of the course ?

Course duration will be from 25 to 30 hours but that vary based upon the question and answer session and assignments sessions.

Can I attend a demo session before enrollment?

Yes, we can share first session of previous batch that you can go over and judge the quality of trainer.

Where I can send my queries ?

You can send all your queries to our email id's or simply add to the forum where you will get reply to queries from expert.

Timing of the session ?

Generally all the live sessions are conducted during that time that is convenient to US and Indian audience.

There are two types of batches, one conducted during weekday and other during weekend.

Is there any option for 1 to 1 training session ?

yes, we also conduct one to one as per the need but candidate need to pay high for that requirement.

Will I get on job support after training?

Yes, support will be provided for 3 months where you can send your queries to us and our trainer will help and guide you.

Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes. Weekend Class : 10 sessions of 3 hours each. Weekday Class : 30 sessions of 1 hours each.

Assignments

Each class will be followed by practical assignments which will aggregate to minimum 20 hours.

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Blockchain concepts.

Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.
04 August Mon - Fri ( 30 Days ) 07:00 AM - 8:00 AM ( IST ) Link
Course Curriculm

Hadoop and BigData

Topics:
  • Big Data Introduction (6W Tag).
  • Hadoop Introduction.
  • 3V’s of Hadoop.
  • Hadoop Distributed File System (HDFS) and MapReduce.
  • How Hadoop is different from Traditional System.
  • Typical Industry Workflow in Hadoop.
  • Distributions of Hadoop.
  • Technologies/Component associated with Hadoop – A general introduction
  • Machine Requirements, VM Setup and other required softwares

Hadoop Architecture

Topics:
  • Architecture of Hadoop.
  • Features the Hadoop Distributed File System (HDFS)
  • NameNode
  • DataNode
  • Secondary NameNode
  • YARN
  • MapReduce Framework
  • Job Tracker
  • Task Tracker
  • Node Manager
  • Resource Manager
  • Container
  • Data Type
  • Input & Output Formats
  • Replication Factor
  • Blocks Size
  • Input Split
  • Heartbeat Mechanism
  • Data Organization

Linux and Hadoop Commands

Topics:
  • Basic Linux Commands
  • Hadoop Commands

MapReduce Framework

Topics:
  • MapReduce Introduction
  • Framework of Mapreduce (Driver, Mapper, Reducer)
  • Writing MapReduce Job.
  • Hello World Program for MapReduce

Project : MapReduce program for WhatsApp Message Analytics

Apache SQOOP

Topics:
  • Apache SQOOP Introduction.
  • Components/Generic arguments of Sqoop.
  • Flow of Sqoop arguments.
  • Writing Sqoop Job.
  • Different Data Sources.
  • Sqooping the data from RDBMS.
  • Sqoop Export
  • Sqoop Hive Import

Apache HIVE

Topics:
  • Introduction to Apache HIVE.
  • Architecture of Apache HIVE.
  • Basics of SQL.
  • Data Types
  • Types of Tables in HIVE.
  • Creation of Databases/Table/Views/Indexes.
  • Loading of Data in HIVE Tables.
  • Frequently used commands.
  • Creation of Joins in HIVE
  • Partitioning and Bucketing in HIVE
  • Project : Analytical Project involving all the concepts of HIVE.

Apache PIG

Topics:
  • Introduction to Apache Pig
  • PigLatin Language
  • Architecture of Apache PIG
  • Transformation and Action in PIG
  • Statement Execution Steps.
  • Data Types
  • Loading data files for ETL
  • Writing queries – SPLIT, FILTER, JOIN, GROUP, SAMPLE, ILLUSTRATE etc.
  • Multi Query Execution
  • Project : ETL operations in PIG involving all the concepts.

Apache FLUME or HCatalog

Topics:
  • Introduction to Apache Flume
  • Features of Apache Flume
  • Difference in Apache Flume and Apache Sqoop
  • Components of Apache Flume (Agent, Source, Channel and Sink)
  • Flume Use Cases
  • Introduction to Hcatalog
  • Uses of HCatalog
  • Connect Apache PIG and Apache HIVE with HCatalog.

Apache Spark with Scala

Topics:
  • Introduction to Apache Spark.
  • Architecture of Apache Spark.
  • How Spark is different from MapReduce.
  • Modules in Apache Spark.
  • Introduction to Scala IDE and SBT.
  • Working with RDD.
  • Working with Dataframe.
  • Spark SQL.
  • User Defined Function
  • Projects : SparkSQL analytics by using Dataframe and UDF.
Course FAQs

What if I miss a class?

You will never lose any lecture. You can choose either of the two options:

  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch.

What is duration of the course ?

Course duration will be from 25 to 30 hours but that vary based upon the question and answer session and assignments sessions.

Can I attend a demo session before enrollment?

Yes, we can share first session of previous batch that you can go over and judge the quality of trainer.

Where I can send my queries ?

You can send all your queries to our email id's or simply add to the forum where you will get reply to queries from expert.

Timing of the session ?

Generally all the live sessions are conducted during that time that is convenient to US and Indian audience.

There are two types of batches, one conducted during weekday and other during weekend.

Is there any option for 1 to 1 training session ?

yes, we also conduct one to one as per the need but candidate need to pay high for that requirement.

Will I get on job support after training?

Yes, support will be provided for 3 months where you can send your queries to us and our trainer will help and guide you.

Features

Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes. Weekend Class : 10 sessions of 3 hours each. Weekday Class : 30 sessions of 1 hours each.

Assignments

Each class will be followed by practical assignments which will aggregate to minimum 20 hours.

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Blockchain concepts.

Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.
Forum
Schedule & Pricing
04 August Mon - Fri ( 30 Days ) 07:00 AM - 8:00 AM ( IST ) Link
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