Data warehouse modelling techniques

  • Data modeling techniques

    Both Kimball vs.
    Inmon data warehouse concepts can be used to design data warehouse models successfully.
    In fact, several enterprises use a blend of both these approaches (called hybrid data model).
    In the hybrid data model, the Inmon method creates a dimensional data warehouse model of a data warehouse..

  • Data modeling techniques

    The four business process modeling techniques are (.

    1. Data Flow Diagram (DFD), (
    2. Business Process Modelling Notation (BPMN), (
    3. Activity Diagram, and (
    4. Integration Definition for Function Modelling (IDEF0)

Data warehouse modeling includes:
  • Top Down / Requirements Driven Approach.
  • Fact Tables and Dimension Tables.
  • Multidimensional Model/Star Schema.
  • Support Roll Up, Drill Down, and Pivot Analysis.
  • Time Phased / Temporal Data.
  • Operational Logical and Physical Data Models.
  • Normalization and Denormalization.

Categories

Data warehouse modernization
Data warehouse mongodb
Data warehouse modeling tutorial
Data warehouse model examples
Data warehouse modeling interview questions
Data warehouse model diagram
Data warehouse monitoring
Data warehouse model ppt
Data warehouse normalized vs denormalized
Data warehouse non functional requirements
Data warehouse normal form
Data warehouse nomenclature
Data warehouse non functional requirements examples
Data warehouse nodes
Data warehousing specialists ooh
Data warehousing postgresql
Data warehouse power bi
Data warehouse powerpoint
Data warehouse powerpoint template free
Data warehouse positions