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Role of Metadata
Why Metadata
 Before touches the keyboard by the
prominent(superlative) users.
 Several questions come to their mind.
W...
Why Meta data contd.,
 These questions and several more
information are very valid and pertinent.
 What are answers? Whe...
What is Meta data?
 Metadata in a data warehouse contains
the answer to questions about the data
in the data warehouse.
...
Different definitions for
metadata
 Data about the data.
 Table of contents for the data.
 Catalog for the data.
 Data...
So, what exactly is metadata
 It tells u more.
 It gives more than the explanation of the
semantics and the syntax.
 De...
Meta data
Why it is important?
 Metadata is necessary for using,
building and administering your data
warehouse.
For using the data warehouse
 Without the metadata support, user
cannot get an information every time
they needed(user cr...
For building the data
warehouse(extraction team)
 Need to know the structure and data
content in the data warehouse.
 Ma...
For administering the data
warehouse
 Impossible to administer the data
warehouse(size)
 Large no of questions and queri...
List of questions relating to
data warehouse
Who needs metadata?
 Without metadata, Datawarehouse is
like such a filling cabinet without
information.
 Go through the...
Like a nerve center
 Metadata placed in a key position and
enables communication among various
processes.
Why metadata is essential for
IT
 Development and deployment of data
warehouse is joint effort between users
and IT staff...
Summary list of process in which
metadata is significant for IT
 Data extraction
 Data transformation
 Data scrubbing
...
Automation of DWH tasks
Types by Functional Area
 Classify and group in various way-some
by usage and who use it
 Administrative/End-user/Optimi...
Functional Areas
 Data Acquisition
 Data stroage
 Information delivery
Data Acquisition
 DWH process related to following
functions.
Data extraction
Data transformation
Data cleaning
Data ...
Data aquisition
Data stroage
 Data loading
 Data archiving
 Data management
 Use metadata in this area for full data
refresh and load.
Information Delivery
 Report generating
 Query processing
 Complex analysis
Mostly this are meant for end-user.
Metad...
Business METADATA
 It connect business with DWH.
 Business users need more than other
users.
 Business metadata is like...
 Must describe the contents in plain
language giving information in business
teerms.
 Example
The name of data tables (...
Business metadata Contd.,
 Much less structured than technical
metadata.
 Textual documents, spreadsheets, and
even busi...
Examples of Business
Metadata who Benefits?
 Primarily benefits end-users.
Managers
Business analysis
Power users
Reg...
Technical Metadata
 IT staff- Development and
Administration of the data warehouse.
 Who Benefits?
Project manager
Dat...
Metadata in data warehouse
Metadata in data warehouse
Metadata in data warehouse
Metadata in data warehouse
Metadata in data warehouse
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Metadata in data warehouse

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metadata in datawarehouse

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Metadata in data warehouse

  1. 1. Role of Metadata
  2. 2. Why Metadata  Before touches the keyboard by the prominent(superlative) users.  Several questions come to their mind. What are various data in the data warehouse? Is there information about unit sale and costs by product? How old is the data in the warehouse. When was the last time fresh data was brought in? Are there any summaries by month and product?
  3. 3. Why Meta data contd.,  These questions and several more information are very valid and pertinent.  What are answers? Where are the answers? Can ur user see the answers? How easy to get the answers?
  4. 4. What is Meta data?  Metadata in a data warehouse contains the answer to questions about the data in the data warehouse.  Keep the answer in a place called the metadata repository.
  5. 5. Different definitions for metadata  Data about the data.  Table of contents for the data.  Catalog for the data.  Data warehouse roadmap.  Data warehouse directory.  Tongs to handle the data.  The nerve center.
  6. 6. So, what exactly is metadata  It tells u more.  It gives more than the explanation of the semantics and the syntax.  Describes all the pertinent(relevant) aspect of the data in the data warehouse.  Pertinent to whom?  The answer is – primarily to the user and also developer and even project team.
  7. 7. Meta data
  8. 8. Why it is important?  Metadata is necessary for using, building and administering your data warehouse.
  9. 9. For using the data warehouse  Without the metadata support, user cannot get an information every time they needed(user create their own ad hoc report).  Today data warehouses are much larger in size, wide in scope.  User critically need metadata.
  10. 10. For building the data warehouse(extraction team)  Need to know the structure and data content in the data warehouse.  Mapping and data transformations.  Logical structure of data warehouse database.
  11. 11. For administering the data warehouse  Impossible to administer the data warehouse(size)  Large no of questions and queries.  Cannot administer without answers for these questions.  Metadata must address these issues.
  12. 12. List of questions relating to data warehouse
  13. 13. Who needs metadata?  Without metadata, Datawarehouse is like such a filling cabinet without information.  Go through the image column(it address the our question)
  14. 14. Like a nerve center  Metadata placed in a key position and enables communication among various processes.
  15. 15. Why metadata is essential for IT  Development and deployment of data warehouse is joint effort between users and IT staff.  Technical issue-IT primarily responsible design and ongoing administration.  Metadata essential for IT  beginning with the data extraction and ending with information delivery.  It drives and record the each processes.
  16. 16. Summary list of process in which metadata is significant for IT  Data extraction  Data transformation  Data scrubbing  Data staging  Data refreshment  Database design  Query report and design
  17. 17. Automation of DWH tasks
  18. 18. Types by Functional Area  Classify and group in various way-some by usage and who use it  Administrative/End-user/Optimization  Technical/Business  Development/usage  In the data mart/At the workstation  Bank room/front room  Internal/External
  19. 19. Functional Areas  Data Acquisition  Data stroage  Information delivery
  20. 20. Data Acquisition  DWH process related to following functions. Data extraction Data transformation Data cleaning Data integration Data staging
  21. 21. Data aquisition
  22. 22. Data stroage  Data loading  Data archiving  Data management  Use metadata in this area for full data refresh and load.
  23. 23. Information Delivery  Report generating  Query processing  Complex analysis Mostly this are meant for end-user. Metadata recorded in processes of other two areas. It also record OLAP-the developer and administrators are involved in this processes.
  24. 24. Business METADATA  It connect business with DWH.  Business users need more than other users.  Business metadata is like a roadmap.  Tout guide-managers and analysis.
  25. 25.  Must describe the contents in plain language giving information in business teerms.  Example The name of data tables (or) individual element must not be cryptic. The data item name-calc_pr_sle. You need to rename this as calculated-prior- month-sale
  26. 26. Business metadata Contd.,  Much less structured than technical metadata.  Textual documents, spreadsheets, and even business rules and policies not written down completely.
  27. 27. Examples of Business Metadata who Benefits?  Primarily benefits end-users. Managers Business analysis Power users Regular users Casual users Senior managers/ junior managers
  28. 28. Technical Metadata  IT staff- Development and Administration of the data warehouse.  Who Benefits? Project manager Data warehouse administrator Metadata manager Database administrator Business analyst Data quality analyst

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