IBM WebSphere DataStage and QualityStage – Version 8.1

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 Modelling

Introduction to Data Modeling – Entity Relationship model (E-R model) – Data Modeling for Data Warehouse – 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 : Data Stage Installation

Data stage Installation – Prerequisites to install Data stage – Installation process.

Unit – 5 : Introduction to Datastage Version 8.1

Datastage introduction – IBM information Server architecture –– DataStage components – DataStage main functions – Client components.

Unit – 6 :  Datastage Administrator

Datastage project Administration – Editing projects and Adding Projects – Deleting projects Cleansing up project files – Global variable setting – Environement management – Auto purging – Rutime Column Propagation(RCP) – Add checkpoints for sequencer – NLS configuration – Generated OSH (Orchestrate Engine) – System formats like date, timestamp – Project protect – Version details.

Unit – 7 :  Datastage Director

Introduction to Datastage Director – Validating Datastage Jobs – Executing Datastage jobs – Job execution status – Monitoring a job – Job log view – job scheduling – Creating Batches – Scheduling batches.

Unit – 8 :  Datastage Designer

Introduction to Datastage Designer – Importance of Parallelism – Pipeline Parallelism – Partition Parallelism – Partitioning and collecting – Partition techniques – Datastage Repository Palette – Passive and Active stages – Job design overview – Designer work area – Annotations – Creating jobs – Importing flat file definitions –  Dataset Overview

Unit – 9 :  Working with Parallel Job Stages

Database Stages

Oracle –  Teradata – ODBC – dynamic RDBMS – DB2

File Stages

Sequential file – Dataset – File set – Lookup file set.

Processing Stages

Copy – Filter – Funnel – Sort Remove duplicate – Aggregator – Modify – Compress – Expand – Decode – Encode – Switch – Pivot stage – Lookup – Join – Merge – difference between look up, join and merge – change capture – Change apply – Compare – Difference – Surrogate key generator – Transformer.

Debug Stages

Head – Tail – Peek – Column generator – Row generator .

Real Time Stages

XML input – XML output –XML Transformer, Java packs, Webservice packs

Local and Shared containers

Unit – 10  Advanced Stages in Parallel Jobs (Version 8.1)

Range Look process – Surrogate key generator stage – Slowly changing dimension stage – iway stage – FTP stage – Java plug in – Job performance analysis – Resource estimation – Slowly Changing Dimensions implementation – Performance tuning.

Unit – 11 Job Sequencers

Arrange job activities in Sequencer – Triggers in Sequencer – Restablity – Recoverability – Notification activity – Terminator activity – Wait for file activity – Start Look activity – Execute Command activity – Nested Condition activity – Exception handling activity – User Variable activity – End Loop activity – Adding Checkpoints

Unit – 12 Information Analyzer

IBM WebShpere Information Analyzer overview – Data Profiling process – Column analysis – Primary key analysis – Foreign key analysis – Cross-domain analysis – Baseline analysis – Aanalysis result publication – Deleting statistics reports – Baseline analysis reports – Cross-domain analysis summary statistics reports – Beseline analysis reports – Cross-domain analysis reports – Primary key reports – Foregin key analysis reports.

Unit – 13 IBM Information Server Administration Guide

IBM WebSphere DataStage administration – Opening the IBM Information Server Web console – 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.