Your SlideShare is downloading. ×
Ibm data stage  implementing etl solution using ibm datastage
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Introducing the official SlideShare app

Stunning, full-screen experience for iPhone and Android

Text the download link to your phone

Standard text messaging rates apply

Ibm data stage implementing etl solution using ibm datastage

661
views

Published on

Datastage course content

Datastage course content

Published in: Education

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
661
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
6
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

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 www.bispsolutions.com www.bisptrainings.com www.hyperionguru.com 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 Containerwww.bispsolutions.com www.bisptrainings.com www.hyperionguru.com Page 2