meaning of data warehousing
needs of data warehousing
applications of data warehousing
architecture of data warehousing
advantages of data warehousing
disadvantages of data warehousing.
meaning of data mining
needs of data mining
applications of data mining
architecture of data mining
advantages of data mining
disadvantages of data mining
3. DATA WAREHOUSING
A data warehousing is
subject oriented,
integrated, non -
volatile, time varying
collection of data in
support of its decision-
making process.
4. NEED OF DATA WAREHOUSING
Business user
Store historic data
Selective data
Make strategic decisions
6. DATA WAREHOUSING
Competitive advantage
More cost effective
decision making.
Better enterprise
intelligence
Enhanced customer
service
Time consuming
Change resistance
Complex
Security issue
ADVANTAGES DISADVANTAGES
7. APPLICATIONS OF DATA WAREHOUSING
Standard reports and queries
Queries against summarized
data
Data mining
Interface with other data
warehouses
8. DATA MINING
Data mining refers
to extracting
knowledge from
large amount of
data, usually
automatically
gathered.
9. NEED OF DATA MINING
Operational
Decisional
Informational
Specific application
10. USER
ARCHITECTURE OF DATA MINING
USER INTERFACE
PATTERN EVALUATION
DATA MINING ENGINE
DATABASE OR DATA WAREHOUSE
SERVER
DATA CLEANSING,DATA SELECTION,DATA INTEGRATION
DATABASE
DATA
WAREHOUSE
WORLD WIDE WEB
OTHER
REPOSITORY
KNOWLEDGE
BASE
11. DATA MINING
Automated forecasting
of trends and behavior.
Automated
determination of earlier
unknown trends.
Extensive depth and
breadth of data base.
Privacy
Misuse of information
Inaccurate information
Security.
ADVANTAGES DISADVANTAGES