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4.  Info Sphere DataStage is a robust data
integration/ETL tool. It has become a component of
IBM Information Server Platform and was acquired
by IBM in 2005. It runs on the client/server design
where jobs are created and managed via a Windows
client against principal repository on a server. The
IBM Info Sphere DataStage is capable of integrating
data on demand across multiple and high quantities
of data sources and target programs utilizing a high
performance concurrent framework. Info Sphere
DataStage additionally eases business connectivity
and extended metadata management.

5.  Administrator: Administrator
is the user interface of
DataStage which, as the name
suggests, is responsible for
administering jobs that are
DataStage. It does so by
managing the global settings
and interacting together with
the device. This parts
performs the management
task of setting up users and
project properties, and
adding, moving and deleting
endeavors.
 Designer: The DataStage jobs
or programs are manufactured
utilizing the layout interface.
The jobs individually define
the sources of data, demanded
transforms, along with the
destination of info. The
DatStage Manager schedules
the executables which are
manufactured from compiling
these occupations.

7.  DATA
WAREHOUSINGFUNDA
MENTALS
 1.Introduction of Data
warehousing
2.purpose of Data
warehouse
3.DW Architecture
4.Data warehouse vs.
OLTP Applications
5.Data Mart
6.Data warehouse
Lifecycle
 DATA MODELING
 1.Introduction of Data
Modeling
2.Entity
Relationship(ER) Model
3.Fact and Dimension
Tables
4.Logical Modeling
5.Physical Modeling
6.Schemas – Star
Schema & Snowflake
Schemas
7.Fact less Fact Tables

8.  PROCESS – ETL
(EXTRACTION,
TRANSACTION &
LOAD)
 1.Introduction of
Extraction ,
Transformation and
Loading (ETL)
2.Types of available ETL
Tools
3.Key tools in the ETL
market
 INSTALLATION
PROCESS (Datastage)
 1.Windows server
2.Oracle
3..NET
4.Datastage 7.5X2 & 8x
 DIFFERENCE
 1.Server jobs & Parallel
jobs

10.  COMPONENTS IN
DATASTAGE
 1.Administrator client
2.Designer client
3.Director client
4.Import/export manager
5.Multi client manager
6.Console for IBM
Information server
7.Web console for IBM
information server
 DATASTAGE
DESIGNER
 1.About Web Sphere Data
stage Designer
2.Partitioning Methods
3.Partitioning Techniques
4.Designer Canvas
5.Central Storage
6.Job Designing
7.Creating the Jobs
8.Compiling and Run the
Jobs

11.  PARALLEL PALETTE
 1.DATABASES STAGES
2.Oracle Database
3.Dynamic RDBMS
4.ODBC
5.SQL Server
6.Teradata
FILE STAGES
1.Sequential File
2.Dataset
3.Lookup File set
 DEV/DEBUG STAGES
 1.Peek
2.Head
3.Tail
4.Row Generator
5.Column Generator
 PROCESSING STAGES
 1.Slowly changing dimension
stage
2.Slowly changing dimensions
implementation
3.Aggregator
4.Copy
5.Compress
6.Expand
7.Filter

13.  Ability to join data both at the source, and at the
integration server and to apply any business rule
from within a single interface without having to
write any procedural code.
 Common data infrastructure for data movement
and data quality (metadata repository, parallel
processing framework, development
environment)

14.  Big architectural differences in the Server and
Enterprise edition which results in the fact that
migration from server to enterprise edition may
require vast time and resources effort.
 Might be expensive as a solution for a small or
mid-sized company.