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Chapter 3
Data Warehouses and Data Mining
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Data Warehouses and Data Mining
Data Warehouses and
Data Mining

What Is a Data Warehouse?
Data warehouse are:



a logical collection of information
gathered from many different operational
databases
used to create business intelligence that
supports business analysis activities and
decision-making tasks.
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Data Warehouses and Data Mining
Data Warehouses and
Data Mining
Data Warehouses Are Multidimensional
Figure 3.8
A Multidimensional
Data Warehouse with
Information from
Multiple Operational
Databases
page 95
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Data Warehouses and Data Mining
Data Warehouses Support Decision Making,
Data Warehouses and
Not Transaction Processing
Data Mining

Data warehouses are not transactionoriented.

Data warehouses support online analytical
processing (OLAP).
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Data Warehouses and Data Mining
What Are Data Mining Tools?
Data Warehouses and
Data Mining

Data mining tools - software tools you use to query
information in a data warehouse. These tools
include:


Query-and-reporting tools - similar to QBE tools, SQL, and
report generators in the typical database environment.
Intelligent agents – use various artificial intelligence tools to
form the basis of information discovery and building business
intelligence in OLAP.
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Data Warehouses and Data Mining
Data Warehouses and
Data Mining

What Are Data Mining Tools?
Data mining tools continued
 Multidimensional analysis (MDA) tools - slice-anddice techniques that allow you to view
multidimensional information from different
perspectives.
 Statistical tools – help you apply various
mathematical models to the information stored in a
data warehouse to discover new information.
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Data Warehouses and Data Mining
Data Warehouses and
Data Mining
Figure 3.9
What Are Data Mining Tools?
The Data Miner’s Tool Set
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Data Warehouses and Data Mining
Data Marts – Smaller Data Warehouses
Data Warehouses and
Data Mining

Data mart - a
subset of a data
warehouse in
which only a
focused portion
of the data
warehouse
information is
Figure 3.10
kept.
Data Marts Are Subsets of
Data Warehouses page 98
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Data Warehouses and Data Mining
Important Considerations
Data Warehouses and
Data Mining

Do you need a data warehouse?

Do all your employees need an entire data
warehouse?

How up-to-date must the information be?

How Up-to-Date
Should Data
Warehouse
Information Be?
(p. 100)
What data mining tools do you need?
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