Datastage Online for Intermediate trainees by Elegant IT Services

IBM Infosphere DataStage and QualityStage 9.1
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, 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 Datastage Version 7.5x2 & 8.5
Datastage introduction
IBM information Server architecture
DataStage components
DataStage main functions
Client components.

Unit 5 : Datastage Administrator
Datastage project Administration
- Editing projects and Adding Projects
Deleting projects Cleansing up project files
Enviranmental Variables
Environement management
Auto purging
Rutime Column Propagation(RCP)
Add checkpoints for sequencer
NLS configuration
Generated OSH (Orchestra Engine)
System formats like data, timestamp
Project protect
Version details.

Unit 6: 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 7 : Datastage Designer
Introduction to Datastage Designer
Importance of Parallelism
Pipeline Parallelism
Partition Parallelism
Partitioning and collecting
Symmetric Multi Processing (SMP) Massively Parallel Processing (MPP)
Partition techniques
Datastage Repository Palette
Passive and Active stages
Job design overview
Designer work area
Annotations
Creating jobs
Importing flat file definitions
Managing the Metadata environment
Dataset management
Deletion of Dataset
Routines
Arguments.

Unit 8: Working with Parallel Job Stages
Database Stages
Oracle
Teradata
ODBC
dynamic RDBMS

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 Write RangeMap Stage.

Real Time Stages
XML input XML output
SAP Plug-in Stages
ABAP Stage,IDoc Extract Stage,IDoc Load Stage, BAPI stage
Local and Shared containers
Routines creation

Unit 9: Advanced Stages in Parallel Jobs (Version 8.5)
Range Look process
Surrogate key generator stage
Slowly changing dimension stage
iway stage
FTP stage
Job performance analysis
Resource estimation
Slowly Changing Dimensions implementation
- Performance tuning.

Unit 10: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

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.

Migration of Datastage & Quality Stage Jobs from 7.5x2 to Version 8.5
Unit 13: IBM Information Server Administration Guide
IBM WebSphere DataStage 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
Datastage Certification Guidence.
Performance Tunning of Parallel Jobs.
Datastage Installation process and setup.
Full Length Class Room Notes Which Covers all the concepts
Well Versed Materials Which Covers Datawarehousing Basics, Datastage Concepts UnixCommands,Shall Scripts, Databases.