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Best Best DataStage Online Training & Best DataStage Online Classes

My Online Training Class provides the Best DataStage Online Training to students from across the globe. This platform helps students to learn DataStage Tutorials Online at any time as per individual’s convenience. Our DataStage Online Classes are conducted by professionals in a manner that is easy for students to understand. The Course material for DataStage Online Training is designed to train all the concepts of DataStage in a step by step process and covers from basic to advanced topics.

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Course Material for Datastage is designed as per current scenarios and will help students in understanding the Datastage concept in detail. Our Datastage Online Training  Syllabus covers all the topics related to Datastage Technology and gives a clear understanding of live scenario to students. Our Datastage experts at My Online Training Class Online Training  Institute, Bangalore,Hyderabad,Chennai,Mumbai, Delhi, Pune, India have developed a unique way of teaching Datastage in an efficient manner.


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DataStage Course Content

Datastage Course Content

Unit -1: Data Warehouse Fundamentals


An introduction to Data Warehousing

Purpose of Data Warehouse

Data Warehouse Architecture

Operational Data Store

OLTP Vs Warehouse Applications

Data Marts

Data marts Vs Data Warehouses

Data Warehouse Life cycle.

Unit -2: Data Modeling


Introduction to Data Modeling

Entity Relationship model (E-R model)

Data Modeling for Data Warehouse, Normalization process

Dimensions and fact tables

Star Schema and Snowflake Schemas.

Unit -3: ETL Design Process


Introduction to Extraction, Transformation & Loading

Types of ETL Tools

Key tools in the market.

Unit – 4: Introduction to Data stage Version 7.5×2 & 8.1& 8.5


Data stage introduction

IBM information Server architecture

Data stage components

Data Stage main functions

Client components- Adding different Servers to our workspace.

Unit – 5:  Data stage Administrator


Data stage project Administration

Editing projects and Adding Projects

Deleting projects Cleansing up project files

Environmental Variables

Environment management

Auto purging

Runtime Column Propagation(RCP)

Add checkpoints for sequencer

NLS configuration

Generated OSH (Orchestra Engine)

System formats like data, timestamp

Projects protect – Version details.

Unit – 6:  Data stage Director


Introduction to Data stage Director

Validating Data stage Jobs

Executing Data stage jobs

Job execution status

Monitoring a job

Job log view

Job scheduling

Creating Batches

Scheduling batches.

Unit – 7:  Data stage Designer


Introduction to Data stage Designer

Importance of Parallelism

Pipeline Parallelism

Partition Parallelism

Partitioning and collecting(In depth coverage of partitioning and collective techniques)

Symmetric Multi Processing (SMP)

Massively Parallel Processing (MPP)

Introduction to Configuration file

Editing a Configuration file

Partition techniques

Data stage Repository Palette

Passive and Active stages

Job design overview

Designer work area


Creating jobs

Importing flat file definitions

Managing the Metadata environment

Dataset management

Deletion of Dataset


Unit – 8:  Working with Parallel Job Stages


Database Stages



 Dynamic RDBMS

File Stages

Sequential file


File set

Lookup file se

Processing Stages





Remove duplicate



Pivot stage




Difference between look up, join and merge

Change capture

External Filter

Surrogate key generator


Real time scenarios using different Processing Stages – Implementing different logics using Transformer

Debug Stages




Column generator

Row generator

Write Range Map Stage

Real Time Stages

XML input

XML output

Local and Shared containers

Routines creation

Extensive usage of Job parameters, Parameter Sets, Environmental variables in jobs

Introduction to predefined Environmental variables creating user defined Environmental variables and implementing the same in parallel jobs

Unit – 9:  Advanced Stages in Parallel Jobs (Version 8.1)


Explanation of Type1 and Type 2 processes

Implementation of Type1 and Type2 logics using Change Capture stage and SCD Stage

Range Look process

Surrogate key generator stage

FTP stage

Job performance analysis

Resource estimation

Performance tuning

Unit – 10: Job Sequencers


Arrange job activities in Sequencer

Triggers in Sequencer



Notification activity

Terminator activity

Wait for file activity

Start Loop activity

Execute Command activity

Nested Condition activity

Exception handling activity

User Variable activity

End Loop activity

Adding Checkpoints

Jobs used in different real time scenarios.

Explanation of Sequence Job stages through different Jobs

Unit – 11: IBM Information Server Administration Guide


IBM Web Sphere Data stage administration

Opening the IBM Information Server Web console –

Setting up a project ion the console

Customizing the project dashboard

Setting up security

Creating users in the console

Assigning security roles to users and groups

Managing licenses

Managing active sessions

Managing logs

Managing schedules

Backing up and restoring IBM Information Server.

Additional Features


Performance Tuning of Parallel Jobs.

Data stage Installation process and setup.

Project Explanation.

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