Big data training Daywise curriculum @Geoinsyssoft

                                         

         For more details Course curriculum ,duration ,fees > Click here 
             Class room and Online training : 

For demo call 9884218531 or mail to : info@geoinsyssoft.com

Big data training Daywise Content : 

Day 1:

Introduction to Big Data.

Realtime usages

Volume ,Variety,Velocity,Value

Compare with existing OLTP,ETL,DWH,OLAP

Day 2

Introduction to Hadoop 1.0 and Hadoop 2.0

Architecture

HDFS Cluster – Data Storage Framework

Map Reduce  - Data Processing Framework

HBASE – NOSQL Database

HIVE Warehouse

PIG  latin Data flow scripts

SQOOP –Bulk data transfer for relational database

Flume  -Streaming Logs

DAY 3

Setup -VM Linux /ubuntu/CentOS

Java

Hadoop setup and configuration –version 1.1.2 and 2.05

Hadoop 1.0 cluster and Daemons

Name node – Metadata , fsimage ,Editlog , Block reports

Rack awareness policy

Safe mode ,rebalancing and load optimization

Data node – Writing, reading and replication of blocks

Job tracker – Intialization, Execution, IO, failure

Task tracker – Initialization , progress, failure

Secondary Namenode – Not a backup

DAY 4

Installation and config of Hadoop 2.0 –YARN

Resource Manager – resource and job Management

Application Manager

Scheduler  - Fair ,Capacity ,Priority

Node Manager

Application Master

Container – Yarn Child and task execution

UBER job

Failure of Application ,RM,AM,NM

Day 5:

Unix and Java Basics.

HDFS file operations  fs shell

 

Day 6:

Introduction to Mapreduce.

Architecture of MR v1 and v2

Key Value Pairs

Mapper – setup/Config,init,map,cleanup,close

Shuffle and Sort

Combiner

Pratitioner

Reducer

Day 7:

Map reduce  word count program.

Structured and Unstructured Data handling

Data processing 

Map only jobs 

Day 8 and Day 9

MR Programs 2:

Combiner and Partitioner

Single and multiple column

Inverted index

XML -semi structured data

Map side joins.

Reduce side join.

Day 10

Introduction to HIVE Datawarehouse

Architecture Installation

Basic HQL Commands

Load, external table

Join

Partioning

Bucket

Advance HQL commands

Beeswax –Web console

Word count in hive

Day 11:

Introduction to PIG

Installation

Data flow Scripts

Handling structured and unstructured

Day 12:

Introduction to NOSQL

ACID /CAP/BASE

Key value pair -Map reduce

Column family-Hbase

Document -MongoDB

Graph DB -Neo4j

Day 13:

Introduction to HBASE and installation. 

The HBase Data Model

The HBase Shell

HBase Architecture

Schema Design

The HBase API

HBase Configuration and Tuning

Day 14:

Introduction to Sqoop and installation.

Bulk loading

Hadoop Streaming.

Day 15:

Flume –NG

Source,Sink,Channel –Agent

Avro  

Zoo keeper

chukwa and oozie

Day 16:

Integrate With ETL

Talend Data studio

Day 17 :

Big data Analytics-Visualization

Tableau or Jaspersoft

Cloudera /Hortonworks/Greenplum

Day 18:

Introduction to Data science

Data mining -Machine learning

Statistical Analysis –Predictive modelling

Sentiment Analysis or opinion mining

Day 19 :

Use cases ,Case studies and Proof of Concepts 

Day 20 and Day 21(Optional)

CCD-410 - Cloudera Certification Questions Discussion.

                                           
         For more details Course curriculum ,duration ,fees > Click here