Your SlideShare is downloading. ×
Best Data warehousing online training institute
Best Data warehousing online training institute
Best Data warehousing online training institute
Best Data warehousing online training institute
Best Data warehousing online training institute
Best Data warehousing online training institute
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

Best Data warehousing online training institute

84

Published on

we are offering best data warehousing online training with real time project by expert trainer.

we are offering best data warehousing online training with real time project by expert trainer.

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
84
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
1
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. DATAWAREHOUSING COURSE CONTENTS Introduction to Data warehousing 1. OVERVIEW • Data warehousing Concepts(Includes BI) • Benefits • Application areas • Industry trends 2. RELATIONSHIP WITH OR (Operational Research) • OR contribution to data warehousing • How can a data warehouse help OR? 3. BUILDING A DATA WAREHOUSE • Components (Includes BI) • Design issues • Techniques 4. MANAGING A DATA WAREHOUSE • Planning a data warehouse initiative • Pitfalls Data Modelling • Introduction • Different Phases of Modelling Multi Dimensional Modelling
  • 2. • What Is a Dimension? • What are Facts? • Multi Dimensional Model • Hierarchies • OLAP • MOLAP • ROLAP • HOLAP • Cubes and its Functions • Star Schema • Fact Table • Dimensional Tables • Snow flake Schema • Fact less Fact Table • Confirmed Dimensions Data Modelling Tools • Introduction to Erwin • Forward Engineering • Reverse Engineering • Update Model, Alter database • Complete compare Informatica 8.6
  • 3. 1. Introduction to Information • Overview Basic Definitions • Informatica Products • Informatica Architecture • Tools and their roles • Folders -sub Folders • Power Center I Power Malt 2. Informatica Designer -Introduction • Introduction to designer • Designer interfaces • Designer tools • Defining Sources • (i) Database as a source • (ii) Rat Flies sources • Defining Targets • Importing from database • Creating a new target • Creating target database objects 3. Informatica Designer • Mapping Introduction • Source Qualifier • Ports • Mapping -Table to Table • Mapping flat File to Table • Connected/Unconnected Transformations • Active and Passive Transformation • Source Qualifier Transformation • SQlOverride-Source Qualifier Transformation • Mapping Source Qualifier as Filter
  • 4. • Source qualifier to join Data • Filter Transformation • Expression Transformation • SequenceGenerator Transformation • Rank Transformation • Router Transformation • Aggregator Transformation • Joiner Transformation • Stored procedure Transformation (Connected & Unconnected) • Union Transformation • XMl Transformation • Mapping Wizards • Implementing Type-I, Type-II, Type-III • Mappings 4. Informatica - Workflow Manager • Workflow Introduction • Tasks • Workflow tools • Connections • Defining tasks o Command Task o Email Task o Session Task o Link Conditions o Event Wait & Event Raise • Setting Properties of Session Task • Creating Workflow • Starting Workflow • Monitoring Workflow
  • 5. 5. Informatica Advanced Features • Incremental Aggregation • Mapplet Implementation • Target Load Plan • Constraint based Loading • Mapping Parameters • Mapping Variables • Session parameters • Link Conditions
  • 6. 5. Informatica Advanced Features • Incremental Aggregation • Mapplet Implementation • Target Load Plan • Constraint based Loading • Mapping Parameters • Mapping Variables • Session parameters • Link Conditions

×