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 Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used.

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Presentation on theme: " Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used."— Presentation transcript:

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2  Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used in developing and managing data warehouses  Explain data warehousing operations  Explain the role of data warehouses in decision support

3  Explain data integration and the extraction, transformation, and load (ETL) processes  Describe real-time (active) data warehousing  Understand data warehouse administration and security issues

4  Data warehousing is a Subject oriented, integrated, time variant and non-volatile collection of data in support of management’s decision making process.

5  Subject Oriented: Data that gives information about a particular subject instead of about a company's ongoing operations.  Integrated: Data that is gathered into the data warehouse from a variety of sources and merged into a coherent whole.  Time-variant: All data in the data warehouse is identified with a particular time period.  Non-volatile: Data is stable in a data warehouse. More data is added but data is never removed.

6  Characteristics of data warehousing  Subject oriented  Integrated  Time variant (time series)  Nonvolatile  Web based  Relational/multidimensional  Client/server  Real-time  Include metadata

7  Data mart A departmental data warehouse that stores only relevant data  Dependent data mart A subset that is created directly from a data warehouse  Independent data mart A small data warehouse designed for a strategic business unit or a department

8  Operational data stores (ODS) A type of database often used as an interim (Used for a particular period of time) area for a data warehouse, especially for customer information files  Enterprise data warehouse (EDW) A technology that provides a vehicle for pushing data from source systems into a data warehouse  Metadata Data about data. In a data warehouse, metadata describe the contents of a data warehouse and the manner of its use

9  Organizations continuously collect data, information, and knowledge at an increasingly accelerated rate and store them in computerized systems  The number of users needing to access the information continues to increase as a result of improved reliability and availability of network access, especially the Internet

10 Thank you


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