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Datawarehouse online training

Datawarehouse Concepts


In computing, a data warehouse (DW, DWH), or an enterprise data warehouse (EDW), is a database used for reporting and data analysis. Integrating data from one or more disparate sources creates a central repository of data, a data warehouse (DW). Data warehouses store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons.The data stored in the warehouse is uploaded from the operational systems (such as marketing, sales, etc., shown in the figure to the right). The data may pass through an operational data store for additional operations before it is used in the DW for reporting.


  • You should be familiar with relational database design and with relational database management systems in general. Being familiar with entity-relationship modeling as well as with DB2 on any platform will be helpful, but both are not required.


  • It is a 8 days program and extends up to 2hrs each.
  • The format is 40% theory, 60% Hands-on.

  • It is a 2 days program and extends up to 8hrs each.
  • The format is 40% theory, 60% Hands-on.
    Private Classroom arranged on request and minimum attendies for batch is 4.

course content

  • Datawarehouse Concepts
    • Data Warehouse
    • Data Mart
    • Data Warehouse Architecture (Basic)
    • Data Warehouse Architecture (with a Staging Area)
    • Dimensional Modeling
    • Star Schema
    • Snowflake Schema
    • Dimension
    • Fact
    • Slowly Changing Dimension
    • Hierarchy
    • Confirmed Dimension
    • Fact less Fact
    • Summary / Aggregations table
    • Change Data capture
  • E T L Informatica Power Center 8.1
    • Power Center Components
      • Designer
      • Repository Manager
      • Workflow Manager
      • Workflow Monitor
    • Informatica Concepts and Overview
      • Informatica Architecture.
      • Source Qualifier
      • Target Qualifier
      • Transformations
      • Mappings
      • Mapplets
      • Sessions
      • Tasks
    • Sources
      • Working with relational Sources
      • Working with Flat Files
    • Targets
      • Working with Relational Targets
      • Working with Flat file Targets
    • Transformations
      • Expression
      • Lookup
      • Sequence Generator
      • Filter
      • Joiner
      • Sorter
      • Procedural
      • Router
      • Aggregator
      • Active and Passive Transformations
      • Update Strategy
      • Data Concatenation
      • Debugging Mappings
    • Mappings & Mapplets
      • Mapping Variables & Parameters
      • Creating Cubes & Dimensions
      • Working with Mapping Wizards
    • Workflow Manger
      • Server Architecture
      • Workflows, Worklets & Sessions
      • Tasks, Assignments, Events, Command etc,
    • Performance Tuning
      • Informatica Tuning (Source, target, mapping & Session)
      • Oracle Tuning (Indexes,


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