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Metadata in data warehouse

Date post: 18-Nov-2014
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metadata in datawarehouse
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Role of Metadata
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Page 1: Metadata in data warehouse

Role of Metadata

Page 2: Metadata in data warehouse

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?

Page 3: Metadata in data warehouse

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?

Page 4: Metadata in data warehouse

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.

Page 5: Metadata in data warehouse

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.

Page 6: Metadata in data warehouse

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.

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Meta data

Page 8: Metadata in data warehouse

Why it is important?

Metadata is necessary for using, building and administering your data warehouse.

Page 9: Metadata in data warehouse

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.

Page 10: Metadata in data warehouse

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.

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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.

Page 12: Metadata in data warehouse

List of questions relating to data warehouse

Page 13: Metadata in data warehouse

Who needs metadata?

Without metadata, Datawarehouse is like such a filling cabinet without information.

Go through the image column(it address the our question)

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Page 15: Metadata in data warehouse

Like a nerve center

Metadata placed in a key position and enables communication among various processes.

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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.

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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

Page 20: Metadata in data warehouse

Automation of DWH tasks

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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

Page 22: Metadata in data warehouse

Functional Areas

Data Acquisition Data stroage Information delivery

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Data Acquisition

DWH process related to following functions.Data extractionData transformationData cleaningData integrationData staging

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Data aquisition

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Data stroage

Data loading Data archiving Data management

Use metadata in this area for full data refresh and load.

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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.

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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.

Page 30: Metadata in data warehouse

Must describe the contents in plain language giving information in business teerms.

ExampleThe 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

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Business metadata Contd., Much less structured than technical

metadata. Textual documents, spreadsheets, and

even business rules and policies not written down completely.

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Examples of Business Metadata who Benefits? Primarily benefits end-users.

ManagersBusiness analysisPower usersRegular usersCasual usersSenior managers/ junior managers

Page 33: Metadata in data warehouse

Technical Metadata

IT staff- Development and Administration of the data warehouse.

Who Benefits?Project managerData warehouse administratorMetadata managerDatabase administratorBusiness analystData quality analyst


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