Datastage

DataStage Training 

Introduction :

DataStage is on of the leading ETL products on the BI market. The tool allows integration of the data across multiple systems and processing high volumes of the data. Datastage has an user-friendly graphical frontend to designing jobs which manage collecting, transforming, validating and loading data from multiple sources, such as the enterprise applications like Oracle, SAP, PeopleSoft and mainframes, to the data warehouse systems. 
The application is capable of integrating meta data across the data environment to maintain consistent analytic interpretations. Datastage provides data quality and reliability for accurate business analysis and reporting.

Course Description:

DATA WAREHOUSING FUNDAMENTALS

  • Introduction of Data warehousing
  • purpose of Data warehouse
  • DW Architecture
  • Data warehouse vs. OLTP Applications
  • Data Mart
  • Data warehouse Lifecycle

DATA MODELING

  • Introduction of Data Modeling
  • Entity Relationship(ER) Model
  • Fact and Dimension Tables
  • Logical Modeling
  • Physical Modeling
  • Schemas – Star Schema & Snowflake Schemas
  • Fact less Fact Tables

PROCESS – ETL (EXTRACTION, TRANSACTION & LOAD)

  • Introduction of Extraction , Transformation and Loading (ETL)
  • Types of available ETL Tools
  • Key tools in the ETL market

INSTALLATION PROCESS (Datastage)

  • Windows server
  • Oracle
  • .NET
  • Datastage 5X2 & 8x

DIFFERENCE

  • Server jobs & Parallel jobs

COMPONENTS IN DATASTAGE

  • Administrator client
  • Designer client
  • Director client
  • Import/export manager
  • Multi client manager
  • Console for IBM Information server
  • Web console for IBM information server

INTRODUCTION TO IBM WEB SPHERE DATASTAGE AND QUALITY STAGE 8X

  • Introduction to Datastage
  • IBM Information server Architecture
  • IBM Data Quality Architecture
  • Enterprise Information Integration
  • Web Sphere Data stage Components

DATASTAGE DESIGNER

  • About Web Sphere Data stage Designer
  • Partitioning Methods
  • Partitioning Techniques
  • Designer Canvas
  • Central Storage
  • Job Designing
  • Creating the Jobs
  • Compiling and Run the Jobs
  • Exporting and importing the jobs
  • Parameter passing
  • System(SMP) & Cluster system(MPP)
  • Importing Method(Flat file, Txt, Xls and Database files)
  • OSH Importing Method
  • Configuration file

PARALLEL PALETTE

  • DATABASES STAGES
  • Oracle Database
  • Dynamic RDBMS
  • ODBC
  • SQL Server
  • Teradata
  • FILE STAGES
  • Sequential File
  • Dataset
  • Lookup File set

DEV/DEBUG STAGES

  • Peek
  • Head
  • Tail
  • Row Generator
  • Column Generator

PROCESSING STAGES

  • Slowly changing dimension stage
  • Slowly changing dimensions implementation
  • Aggregator
  • Copy
  • Compress
  • Expand
  • Filter
  • Modify
  • Sort
  • Switch
  • Lookup
  • Join
  • Marge
  • Change Capture
  • Change Apply
  • Compare
  • Difference
  • Funnel
  • Remove Duplicate
  • Surrogate Key Generator
  • Pivot stage
  • Transformer

CONTANERS

  • Shared Containers
  • Local Containers

DS-DIRECTOR

  • About DS Director
  • Validation
  • Scheduling
  • Status
  • View logs
  • Monitoring
  • Suppress and Demote the Warnings
  • Peek view

DATASTAGE ADMINISTRATOR

  • Create Project
  • Delete Project
  • Protect Project
  • Environmental variables
  • Auto purge
  • RCP
  • OSH
  • Commands Execute
  • Multiple Instances
  • Job Sequence Settings

JOB SEQUENCE AREA

  • Job Activity
  • Job sequencer
  • Start loop Activity
  • End loop Activity
  • Notification Activity
  • Terminator Activity
  • Nested Condition Activity
  • Exception handling Activity
  • Execute Command Activity
  • Wait for file Activity
  • User variable Activity
  • Adding Check Points
  • Restartable

IBM WEB SPHERE QUALITY STAGE

  • Data Quality
  • Data Quality Stages
  • Investigate Stage
  • Standardize Stage
  • Match Frequency Stage
  • Reference Match Stage
  • Unduplicated Match Stage
  • Survive Stage
  • Viewing audit details in operational DASHBOARD reports

 

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