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Page 1: Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used
Page 2: Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used

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

Page 3: Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used

Explain data integration and the extraction, transformation, and load (ETL) processes

Describe real-time (active) data warehousing

Understand data warehouse administration and security issues

Page 4: Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used

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

Page 5: Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used

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.

Page 6: Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used

Characteristics of data warehousing

Subject oriented Integrated Time variant (time series) Nonvolatile Web based Relational/multidimensional Client/server Real-time Include metadata

Page 7: Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used

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 martA small data warehouse designed for a strategic business unit or a department

Page 8: Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used

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

Page 9: Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used

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

Page 10: Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used

Thank you