This document provides an overview of data warehousing. It defines data as collections of numbers, alphabets, pictures, and video that can be processed or manipulated. A data warehouse is described as a collection of integrated data from different sources made available for analysis. Key properties of a data warehouse discussed are that it is subject-oriented, integrated, non-volatile, and time-variant. Advantages include retrieving data from multiple sources and increasing consistency, while pitfalls include the time required to extract, clean, and load data.

1. DATA
WAREHOUSING
GUIDED BY:- PRESENTED BY :-
Mrs. Shweta Kharya Chanchal Tripathi
Shikha Shyamkuwar
MCA - 1ST SEM
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2. What is data?
• Data are defined as collection of numbers
,alphabets ,pictures , video that can be
processed or manipulated by MIS.
• Data is collection of raw material of
information.
• Data forms the information in understandable
form.
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3. What is Warehouse?
 A Warehouse is a commercial building for storage
of any thing.
 Warehouses are used by manufactures, importers
,exporters, wholesalers, transport businesses , etc.
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4. What is a Data Warehouse?
A single, complete and
consistent store of data
obtained from a variety of
different sources made
available to end users in a
what they can understand
and use in a business context.
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5. Definition
DATA WAREHOUSE:-
It is the collection of key pieces of the
information which is used to manage and
direct the business for the most profitable
outcome.

6. Data Warehouse Properties
Subject Integrated
Oriented
Data
Warehouse
Non Volatile Time Variant
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7. Subject-oriented
• Data warehouse is organized around subjects
such as sales , product , customer.
• It focuses on modeling and analysis of data for
decision makers.
• Excludes data not useful in decision support
process.
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8. Integrated
• A data warehouse is constructed by
integrating multiple sources of data such as
relational database and on-line transaction
records.
• Data cleaning and data integration techniques
are applied to ensure consistency in naming
conventions, encoding structures, attributes
etc..,
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9. Integrated Data
Data on a given subject is defined and stored once.
Savings
Current
accounts
Loans Customer
Data Warehouse
Applications
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10. Nonvolatile
• Data once recorded cannot be updated.
• Data warehouse requires two operations in data
accessing
– Initial loading of data
– Access of data
load access
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11. Time-variant
• Provides information from historical perspective
e.g. past 5-10 years
• Data warehouse maintains records of both
historical and current data.
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12. Functioning of Data warehousing
Data Source cleaning
Transformation
Data Warehouse
New Update
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13. Advantages of using data warehouse
 It retrieving data from multiple source.
 Increases data consistency.
 Increases productivity and decreases computing
cost.
 It is able to combine data from different sources, in
one place.
It provides historical information and its future
prediction.
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14. Data Warehouse Pitfalls
• spend much time to extracting, cleaning, and loading data.
• find problems with systems feeding the data warehouse.
• find the need to store/validate data not being
captured/validated by any existing system.
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15. Data Warehouse Pitfalls…
• You are building a HIGH maintenance system.
• You will fail if you concentrate on resource optimization
to the neglect of project, data, and customer management
issues .
• Large scale data warehousing can become an exercise in
data homogenizing.
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16. Data Mining
 Data mining is sorting through data to
identify patterns and establish
relationships.
The process of extracting or finding
hidden knowledge from large database is
called data mining.
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17. Application Areas
Industry Application
Finance Credit Card Analysis
Insurance Claims, Fraud Analysis
Telecommunication Call record analysis
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18. References
• www.slideshare.com
• www.google.com
• www.wikipedia.org
• www.dwinfocenter.org
Books-
• Sam Anahory & Dennis Murray
• Paulraj Ponniah
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19. THANK YOU
Special thanks to Google.com
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20. Questions and Answers
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