DATA WAREHOUSE FUNDAMENTALS
A Data Warehouse -> a logical collection of information-gathered from many different operational data bases-that supports business analysis activities and decision-making task.
Primary Purpose : to aggregate information throughout an organization into a single repository in such a way that employees can make decisions and undertake business analysis activities.
Extraction, Transformation, and Loading (ETL) :
- is a process that extracts information from internal and external databases, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse.
- the data warehouse then sends subsets of the information to data marts.
A DATA MART
= contains a subset of data warehouse information.
=to distinguish between data warehouses and data marts, think of data warehouse data as having more organizational focus and data marts as having focused information subsets particular to the needs of a given business unit.
=such as finance or production and operations.
DATA WAREHOUSE MODEL


MULTIDIMENSIONAL ANALYSIS AND DATA MINING
- Relational databases contains information a series of two - dimensional tables
- In a data warehouse and data mart, information is a multidimensional, it contains layers of columns and rows
- Dimension- a particular attribute of information

Cube
= Common term for the representation of multidimensional information.

Data Mining
= is the process of analyzing data to extract information not offered by the raw data alone.
Data-mining tools
= use a variety of techniques to


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