Your SlideShare is downloading. ×
Datastage Online Training
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Saving this for later?

Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime - even offline.

Text the download link to your phone

Standard text messaging rates apply

Datastage Online Training

353
views

Published on

SVR Technologies provides you the best online learning experience that you ever had. Our trainers are having a real time experience of more than 8 years, they are working professionals and industry …

SVR Technologies provides you the best online learning experience that you ever had. Our trainers are having a real time experience of more than 8 years, they are working professionals and industry level experts. We offer all IT software courses for the lowest price with a quality assured training. For more info visit http://svrtechnologies.com/datastage_training.html

Published in: Education, Technology

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

  • Be the first to like this

No Downloads
Views
Total Views
353
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
2
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
  • Continued in the next slide
  • Continued in the next slide
  • Transcript

    • 1. Contact: 091-9885022027 Email: info@svrtechnologies.com Course name: Datastage Trainer: Kiran kumar Duration: 30 Hrs Session: Daily 1 Hr
    • 2. Data Warehousing Concepts Topic1: Introduction to Data Warehousing What is Data Warehousing .Who needs Data Warehousing? Why Data Warehouse is required? Data Warehousing Architecture Types of Systems OLTP OLAP Data Warehousing Life Cycle.
    • 3. Topic 2: Data Modeling Concepts Source Integration Layer Staging Area Target Analysis & Reporting ODS.
    • 4. Topic 3: Multi-Dimensional Modeling Concepts What is dimension modeling? Difference between ER modeling and dimension modeling What is a Dimension? What is a Fact? Start Schema Snow Flake Schema Difference between Star and snow flake schema Continued in the next slide
    • 5. Fact Table Different types of facts Dimensional Tables Fact less Fact Table Confirmed Dimensions Junk Dimensions Degenerative Dimensions What are slowly changing Dimensions? Different types of SCD’s.
    • 6. IBM DataStage Tool Topic 4: IBM DataStage Contents  Introduction about Data Stage  DataStage architecture  Difference between Server Jobs and Parallel Jobs  Difference between Pipeline Parallelism and Partition Parallelism  Partition techniques  Configuration File  Difference between SMP/MPP Architecture  Data stage components (Server components /Client components).
    • 7. Topic 5: Administrator Introduction about Administrator Project creation and project properties setup.
    • 8. • Topic 6: Designer Introduction about Designer Repository Palette Type of Links.
    • 9. Topic 7: File Stages Sequential file Dataset file File set Lookup file set Difference between Sequential file/Dataset/File set.
    • 10. Topic 8: Database Stages Dynamic RDBMS Oracle Enterprise ODBC Enterprise.
    • 11. Topic 9: Processing Stages Aggregate Stage Transformer Stage Surrogate Generator Stage Join Stage Merge Stage Lookup Stage Difference between Join/Lookup/Merge Difference between Join/Lookup Continued in the next slide
    • 12.  Remove Duplicates  Switch  Pivot  Modify  Funnel  Different types of sorting and sort stage.  Different types of combining and collecting techniques.  Filter  External filter  Difference between filter, External filter and switch stages.  SCD stage  Adding job parameters to a job  Parameter set  Run time column propagation.
    • 13. Topic 10: Debugging Stage Head Tail Pea Row Generator Column Generator Sample.
    • 14. Topic 11: Data stage Director Introduction to Data stage Director Job Status View View logs Scheduling.
    • 15. Thank You