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Course #: 12015e - Data Stage Datawarehousing

DATA WAREHOUSE FUNDAMENTALS

  •     An Introduction of Data warehousing
  •     purpose of Data warehouse
  •     Data ware Architecture
  •     OLTP Vs Data warehouse Applications
  •     Data Marts
  •     Data warehouse Lifecycle
  •     SDLC


DATA MODELING

  •     Introduction of Data Modeling
  •     Entity Relationship Model
  •     Dimensions and Fast Tables
  •     Logical Modeling
  •     Physical Modeling
  •     Schemas Like Star Schema & Snowflake Schemas
  •     Fact less Fact Tables


PROCESS OF ETL (EXTRACTION, TRANSACTION @LOAD)

  •     Introduction of Extraction , Transformation and Loding
  •     Types of ETL tools
  •     Key tools in the market


INSTALLATION PROCESS

  •     Windows server
  •     Oracle
  •     .NET
  •     Datastage 7.5X2 & 8x


DIFFERENCE

  •     Server jobs & Parallel jobs


COMPONENTS IN DATASTAGE

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


INTRODUCTION TO IBM WEB SPHERE DATASTAGE AND QUALITY STAGE 8X

  •     Datastage Introduction
  •     IBM Information server Architecture
  •     IBM Data Quality Architecture
  •     EnterpriseInformation Integration
  •     Web Sphere DataStage Components


DATASTAGE DESIGNER

  •     About Web Sphere DataStage 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)
  •     OSHImporting 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


Recommended Prerequisites:

  • There are no mandatory prerequisites. Work experience in IT services is recommended.