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Data
WarehousePresented by: Faisal & Bilal
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Metadata
Metadata is simply defined as data about data.
The data that is used to represent other data is known as
metadata.
For example, the index of a book serves as a metadata for the
contents in the book.
we can define metadata as follows.
• Metadata is the road-map to a data warehouse.
• Metadata acts as a directory.
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Types of Metadata
Metadata in a data warehouse fall into three major categories:
• Operational Metadata
• Extraction and Transformation Metadata
• End-User Metadata
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Operational Metadata
• As you know, data for the data warehouse comes from several
operational systems of the enterprise.
• These source systems contain different data structures.
• The data elements selected for the data warehouse have
various field lengths and data types.
• When you deliver information to the end-users, you must be
able to tie that back to the original source data sets.
• Operational metadata contain all of this information about the
operational data sources.
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Extraction and Transformation Metadata
• Extraction and transformation metadata contain data about the
extraction of data from the source systems, namely, the
extraction frequencies, extraction methods, and business rules
for the data extraction.
• Also, this category of metadata contains information about all
the data transformations that take place in the data staging
area.
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End-User Metadata
• The end-user metadata is the navigational map of the
data warehouse.
• It enables the end-users to find information from the
data warehouse.
• The end-user metadata allows the end-users to use
their own business terminology and look for
information in those ways in which they normally
think of the business.
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Special Significance
Why is metadata especially important in a data warehouse?
• First, it acts as the glue that connects all parts of the data
warehouse.
• Next, it provides information about the contents and
structures to the developers.
• Finally, it opens the door to the end-users and makes the
contents recognizable in their own terms.
Meta Data and it's Type

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Meta Data and it's Type

  • 1.
  • 2. Data WarehousePresented by: Faisal & Bilal Page1 Page2 Page3 Page4 Page5 Page6
  • 3. Page1 Page2 Page3 Page4 Page5 Page6 Metadata Metadata is simply defined as data about data. The data that is used to represent other data is known as metadata. For example, the index of a book serves as a metadata for the contents in the book. we can define metadata as follows. • Metadata is the road-map to a data warehouse. • Metadata acts as a directory.
  • 4. Page1 Page2 Page3 Page4 Page5 Page6 Types of Metadata Metadata in a data warehouse fall into three major categories: • Operational Metadata • Extraction and Transformation Metadata • End-User Metadata
  • 5. Page1 Page2 Page3 Page4 Page5 Page6 Operational Metadata • As you know, data for the data warehouse comes from several operational systems of the enterprise. • These source systems contain different data structures. • The data elements selected for the data warehouse have various field lengths and data types. • When you deliver information to the end-users, you must be able to tie that back to the original source data sets. • Operational metadata contain all of this information about the operational data sources.
  • 6. Page1 Page2 Page3 Page4 Page5 Page6 Extraction and Transformation Metadata • Extraction and transformation metadata contain data about the extraction of data from the source systems, namely, the extraction frequencies, extraction methods, and business rules for the data extraction. • Also, this category of metadata contains information about all the data transformations that take place in the data staging area.
  • 7. Page1 Page2 Page3 Page4 Page5 Page6 End-User Metadata • The end-user metadata is the navigational map of the data warehouse. • It enables the end-users to find information from the data warehouse. • The end-user metadata allows the end-users to use their own business terminology and look for information in those ways in which they normally think of the business.
  • 8. Page1 Page2 Page3 Page4 Page5 Page6 Special Significance Why is metadata especially important in a data warehouse? • First, it acts as the glue that connects all parts of the data warehouse. • Next, it provides information about the contents and structures to the developers. • Finally, it opens the door to the end-users and makes the contents recognizable in their own terms.