Ibm data stage  implementing etl solution using ibm datastage
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Ibm data stage implementing etl solution using ibm datastage



Datastage course content

Datastage course content



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Ibm data stage implementing etl solution using ibm datastage Document Transcript

  • 1. IBM DataStage : Implementing ETL Solution using IBM DataStageCourse Description: This course covers the basic of Data Warehousing fundamentals, ETL Fundamentals and focuses on implementingExtract, Transform and Load strategy using IBM DataStage. Learn the real work Data Transformation rules, Data QualityCheck, Basic and Advance Business Rules, Data Loading Strategies and optimized ETL solutions. The training is full of realtime case studies, Problem/Solutions based model and based on current job requirements.Course Duration: 30 hours.Take Away: Student Guide, Lab Guide and Case Studies.Class Delivery: On-Line (Interactive Web Based ) Contents  Introduction about Data Stage  Difference between Server Jobs and Parallel Jobs  Difference between Pipeline Parallelisms  Partition techniques (Round Robin, Random, Hash, Entire, Same, Modules,Range,DB2,Auto)  Configuration File  Difference between SMP/MPD architecture  Data Stage Components (Server components/Client Components)  Package Installer Data Stage Administrator  Creating project, Editing project and Deleting project  Permissions to user  .Apt Config file  Environment variable creation, permission Data stage director  Introduction to Data stage Director  Job status View  View logs  Scheduling  Batches Creation Designer  Introduction about Designer  Repository  Palatte  Types of Links  File Stages  Sequential File  Data set File  Lookup file set  Difference between Sequential file/Dataset/File set  Database stages  Dynamic RDBMS  Oracle Enterprise  ODBC Enterprise Page 1
  • 2.  Stored ProcedureProcessing stages  Change Capture (Caption)  Compare stage  Difference Stage  Aggregate Stage  Transformer Stage  Surrogate Generator Stage  Join Generator Stage  Merge Generator Stage  Lookup Generator Stage  Difference between join/Lookup/Merge  Difference between join/Lookup  Remove Duplicates  Switch  Pivot  Modify  FunnelDebugging stage  Head  Tail  Pea  Row Generator  Column Generator  Sample  Job ParametersManager  Introduction About Data stage Manager  Importing the Job  Exporting the Job  Importing Table Definition  Importing Flat File Definition  RoutinesContainers  Difference between Local Container and Shared Container  Local Container  Shared Page 2