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Data Warehousing Overview

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a presentation about brief introduction to the concept of data warehouse

a presentation about brief introduction to the concept of data warehouse

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  • 1. data warehousing overviewGood decisions by effectively managing data
    Presented to : Eng. ShahinazAzab
    Presented by : Ahmed Gamal Mohammed
    SWE2 – ITInc .
    Intake 30
    2009/2010
  • 2. Outline
    Forethought
    What is Data Warehousing ?
    Architecture of Data Warehousing
    Data warehousing methodologies
    Advantages of using Data Warehousing
    Disadvantages of using Data Warehousing
    Conclusion
    2
  • 3. Forethought
    “Today every company is an information company but not all are prepared to deal with it.“
    Mark Lahr – 3M Corp
    "The CEO will always get good data, but the challenge is making it available to the masses. That’s the challenge, how do you democratize decision-making?"
    Eric Berg, chief administrative officer and former CIO-Goodyear.
    3
  • 4. What is date warehouse ?
    “collection of data that is used primarily in organizational decision making.”
    -- W.H. Inmon, credited with initially using the term Data Warehouse, 1992
    4
  • 5. Also means `
    A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process.
    It is :-
    Subject-Oriented.
    Integrated.
    Time-Variant.
    Non-volatile.
    5
  • 6. Architecture of Data Warehousing
    Operational database layer
    The source data for the data warehouse
    Data access layer
    The interface between the operational and informational access layer
    Metadata layer
    The data directory - This is usually more detailed than an operational system data directory.
    Informational access layer
    The data accessed for reporting and analyzing and the tools for reporting and analyzing data
    6
  • 7. Typical DW Architecture
    Data Store
    Data Access
    Data Sources
    ETL
    Presentation
    Dashboards
    The Data
    Warehouse
    System A
    Prompted Views
    System B
    Scorecards
    System C
    Extract
    Transform
    Load
    Business Model
    Ad-Hoc Reporting
    System D
    Self Serve
    7
  • 8. Data warehousing methodologies
    Bottom-up design
    Ralph Kimball, a well-known author on data warehousing, is a proponent of an approach to data warehouse design
    In this approach
    data marts are first created to provide reporting and analytical capabilities for specific business processes.
    Top-down design
    Bill Inmon, is one of the leading proponents of the top-down approach to data warehouse design.
    In this approach
    data warehouse is designed using a normalized enterprise data model. "Atomic" data, that is, data at the lowest level of detail, are stored in the data warehouse.
    8
  • 9. Advantagesof using Data warehousing
    Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis.
    Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems.
    9
  • 10. Disadvantages of using data warehousing
    Data warehouses are not the optimal environment for unstructured data.
    Because data must be extracted, transformed and loaded into the warehouse, there is an element of latency in data warehouse data.
    10
  • 11. Conclusion
    11
    Implementing a Data Warehouse is not a project, but a long term commitment to implement continuously improving business intelligence practices…
  • 12. 12
    Thank you for your listening
    At the end