.

FEBRUARY 14 to 18 - 2016

9 am to 5 pm

HOTEL DUBAI GRAND DUBAI

Big Data Development

HADOOP

Training - Workshop

ISIDUS TECH TEAM – FZE PO Box 121109 Dubai UAE , email training-coordinator@isidus.net

M: +97150 7840755 T +97155 1602215

http://www.isidus.net

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A CORPORATE TRAINING & CONSULTANCY COMPANY http://www.isidus.net

BIG DATA – Development

Training Workshop

HADOOP DEVELOPMENT – 40 hours

Program Overview

Program will help the participants to get clear idea on the purpose of Big Data Development with HADOOP the program will be approx. 40 hours ( to be completed in consecutive 5 days ) , the coverage and pitch of the program can be further discussed with trainer and customized for participants.

Sample Course Outline

Traditional Databases analysis vs Hadoop Bigdata

Manual Installation of direct setups of CLOUDERA DISTRIBUTOR with Hadoop1.x (MRV1) & HADOOP2.X (MRV2) YARN of complete HADOOP FRAMEWORK

END TO END OVERVIEW OF HADOOP BIGDATA PROJECT IN REAL USES OF

INDUSTRYS MODULE – 1 BIG DATA, HADOOP, INTRODUCTION TO HADOOP ARCHITECTURE AND HDFS

Why did Big Data suddenly become so prominent

Limitations of traditional large scale systems

Compare Hadoop architecture with traditional architecture

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Core components of Hadoop

Understanding Hadoop Master-Slave Architecture

Understanding HDFS Architecture

Learn about NameNode, DataNode, Secondary Node

Learn about JobTracker, TaskTracker

Anatomy of Read and Write data on HDFS

Hadoop deployment Modes - Standalone, Single node, multinode

Configuration files in a Hadoop Cluster

Important Web URL's for Hadoop

Run HDFS and Linux commands

Examples & Real Industry Work Experienced Use cases-Hands-on

MODULE -2 HADOOP 2.0, YARN, MRV2

Hadoo 1.0 Limitations

MapReduceLimitations

(Mr v1 vs Mrv2)

HDFS 2: Architecture

HDFS 2: HighAvailability

HDFS 2: Federation

YARN Architecture Classic

vs YARN

Setting up cluster Examples & Real Industry Work Experienced Use cases-Hands-on

MODULE – 3 UNDERSTANDING HADOOP MAPREDUCE

Overview of the MapReduce Framework

Use cases of MapReduce

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MapReduce Architecture

Understand the concept of Mappers, Reducers

Anatomy of MapReduce Program

MapReduce Components - Mapper Class, Reducer Class, Driver code

Splits and Blocks Understand

Combiner Understanding

Input/Output Format

MapReduce API and Hadoop Data Types.

Examples & Real Industry-Work Experienced Use cases-Hands-on

MODULE-4 ADVANCED MAPREDUCE

COMBINER

PARTITONER

MULTIPLE FILES READ

Using Writable and Writable comparable

Concept of Partitioner,Map Side Join,Distributed Join,Distributed Cache, Reduce Side Join.

Examples & Real Industry-Work Experienced Use cases-Hands-on

MODULE – 5 APACHE HIVE -HIVEQL

what is Hive

Hive DDL - Create/Show/Drop Database

Hive DDL - Create/Show/Drop Tables

Hive DML - Load Files into Tables

Hive DML - Inserting Data into Tables

Hive SQL - Select, Filter, Join, Group By

Hive Architecture & Components Hive

Data Model and Data Units

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Difference between Hive and RDBMS

Multi-Table Inserts

Joins

Grouping Sets, Cubes, Rollups

Hive

SerDeHive

UDF Hive

UDAF

Examples & Real Industry-Work Experienced Use cases-Hands-on

MODULE – 6 APACHE PIG

PIG vs. MapReduce

PIG components

PIG execution

PIG Data types

PIG Architecture

PIG Latin Relational Operators

PIG Latin Join and CoGroup

PIG Latin Group and Union

Describe, Explain, Illustrate

PIG Latin: File Loaders

Examples & Real Industry-Work Experienced Use cases-Hands-on MODULE-7 UNDERSTANDING Apache Sqoop

Sqoop - How Sqoop works

Import/Export Data

Sqoop Architecture

Examples & Real Industry-Work Experienced Use cases-Hands-on

MODULE- 8 UNDERSTANDING APACH Flume

Flume-How Flume works

Import/Export Data

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Flume Architecture Examples & Real Industry-Work Experienced Use cases-Hands-on

MODULE – 9 APACHE HBASE & NOSQL Databases

Introduction to NoSQL

RDBMS vs NoSQL

Analytical (OLAP)

When/Why to use HBase

HBase Architecture/Storage

HBase Features

HBase Data Model

HBase Families

HBase Master

HBase vs RDBMS

Column Families

Access HBase Data

HBase API

Runtime modes

Running HBase

Examples & Real Industry-Work Experienced Use cases-Hands-on

INTERDUCTION:

APACHE SPARK

NOSQL: MONGODB

BI: PENTAHO

Participants are required to bring their own personal computers

Deliverables

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Course Handbook designed by trainer

Suggested reading list

Course Material All participants will be provided course material designed by the trainer comprising power-point slides used for presentation, case studies, Industry examples and other training material used for the program. As hard copies prepared for the workshop.

Deadlines Confirmation A minimum of 15 days prior to training date with payment details.

Contact Details

Mobile +9715 7840755 T +97155 1602215, Email: training-coordinator@isidus.net

ISIDUS TECH TEAM- FZE PO Box: 121109 Dubai, UAE W: http://www.isidus.net

Investment US$ 1650/pax for 5 days program including course material lunch and coffee breaks

10% less for nomination / registration of 3 candidates from same organization

Registration Deadline: 15 days before the program date.

Program is open for pre- registered candidates only.

Certificate of attendance from authorized training provider

Registration / Cancellation Policy

1. Cancellations in the last 10 days will not be entitled to refund(s).However, substitutions are possible.

2. Out station candidates are required to make their own arrangements for hotel stay at their own expenses.

3. In unforeseen circumstances the program venue is likely to change however we strive to avoid this as far as possible.

REGISTRATIONS ARE SUBJECT TO RECEIPT OF PAYMENT MINIMUM 10 DAYS BEFORE THE PROGRAM