contactus.Hadoop with big-data


Hadoop and Big-data

At the Completion on said course the students will have full professional knowlege of coding skills, developing logics & websites/applications, working on live projects.We are the best providers of Hadoop with big-data Training in navi mumbai, kharghar with excellent placements. By giving the perfect Hadoop with big-data Training in navi mumbai, we differ very much from others.By the expert guidance in learning Hadoop with big-data Training in navi mumbai we can proudly say we are the top providers.


Target Audience
Graduates Post-Graduates & working professional, Job aspirants

Pre-requisites
C & OOPS Concepts would be an advantage

Duration
45 days Duration, Classes taken 5 Days a week


Batches
5 day in a week, Weekend batch, Only Sunday batch

Fee Structure
Starting from 15000/-



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Hadoop and Big-data

MODULE 1: Hadoop and its Architecture
What is Big Data
Hadoop Architecture
Hadoop ecosystem components
Hadoop Storage: HDFS
Hadoop Processing: MapReduce Framework
Anatomy of File Write and Read
Hadoop Check-Pointing
Rack Awareness

MODULE 2: Pseudo-Cluster Configuration
Hadoop Cluster Architecture
Hadoop Cluster Configuration files
Hadoop Cluster Modes
Multi-Node Hadoop Cluster
A Typical Production Hadoop Cluster
MapReduce Job execution
Common Hadoop Shell commands

MODULE 3: Hadoop MapReduce framework
Hadoop Data Types
Hadoop MapReduce paradigm
Map and Reduce tasks
Map Reduce Execution Framework
Hands-on Map-Reduce Programming

MODULE 4: Pig Latin
Installing and Running Pig
Grunt
Pig's Data Model
Pig Latin
Developing and Testing Pig Latin Scripts
Filter, Load & Store, Join and many more Functions
Hadoop Project: Pig Scripting.

MODULE 5: Hive (HQL - Hive Query Language)
Hive Architecture and Installation
Comparison with Traditional Database
HiveQL: Data Types
Operators and Functions
Hive Tables(Managed Tables and External Tables, Partitions and Buckets, Importing Data, Altering Tables, Dropping Tables)

MODULE 6: Sqoop & Flume
Sqoop Architecture
Working with Sqoop commands
Importing single/all tables from RDBMS
Exporting data to RDBMS
Importing RDBMS data into Hive table
Flume architecture
How to write a Flume configuration file
Importing real time data using Flume

MODULE 7: Hadoop's NOSql Database: HBase
Introduction to HBase
CAP Theorem
HBase Architecture
Minor and Major Compaction
Creating HBase tables
Querying HBase tables

MODULE 1: Hadoop and its Architecture
What is Big Data
Hadoop Architecture
Hadoop ecosystem components
Hadoop Storage: HDFS
Hadoop Processing: MapReduce Framework
Anatomy of File Write and Read
Hadoop Check-Pointing
Rack Awareness

MODULE 2: Pseudo-Cluster Configuration
Hadoop Cluster Architecture
Hadoop Cluster Configuration files
Hadoop Cluster Modes
Multi-Node Hadoop Cluster
A Typical Production Hadoop Cluster
MapReduce Job execution
Common Hadoop Shell commands

MODULE 3: Hadoop MapReduce framework
Hadoop Data Types
Hadoop MapReduce paradigm
Map and Reduce tasks
Map Reduce Execution Framework
Hands-on Map-Reduce Programming
Partitioners and Combiners

MODULE 4: Pig Latin
Installing and Running Pig
Grunt
Pig's Data Model
Pig Latin
Developing and Testing Pig Latin Scripts
Filter, Load & Store, Join and many more Functions
Hadoop Project: Pig Scripting.
Advanced Pig functions
XML parsing with Pig
User-Defined Functions (UDF)
Date Functions
HCatalog

MODULE 5: Hive (HQL - Hive Query Language)
Hive Architecture and Installation
Comparison with Traditional Database
HiveQL: Data Types
Operators and Functions
Hive Tables(Managed Tables and External Tables, Partitions and Buckets, Storage Formats, Importing Data, Altering Tables, Dropping Tables)

MODULE 6: Advance Hive CTAS
Appending Data into existing Hive Table
Querying Data (Sorting and Aggregating, Joins & Sub-queries, Views, Map side Joins to optimize Query)

MODULE 7: Sqoop & Flume
Sqoop Architecture
Working with Sqoop commands
Importing single/all tables from RDBMS
Incremental imports
Exporting data to RDBMS
Importing RDBMS data into Hive table
Flume architecture
How to write a Flume configuration file
Importing real time data using Flume

MODULE 8: Hadoop's NOSql Database: HBase
Introduction to HBase
CAP Theorem
HBase Architecture
Minor and Major Compaction
Creating HBase tables
Querying HBase tables

MODULE 9: Introduction to Oozie and HUE
Creating jobs with Oozie.
Scheduling Jobs with Oozie
Creating workflows for automated processing
Introduction to HUE
Job Monitoring through HUE
Writing Pig / Hive scripts in HUE
Metastore tables / HBase tables in HUE