Saturday, September 19, 2015

Chapter 8 : Accessing Organizational Information - Data Warehouse

Data Warehouse Fundamentals
Data warehouse - a logical collection of information gathered from many different                                                operational databases that supports business analysis activities and                                      decision making tasks.

Data Warehouse Model
Extraction, transformation, and loading ( ETL ) - 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.
Data mart - contains a subset of data warehouse information.

Multidimensional Analysis and Data Mining 
 Cube - common term for the representation of multidimensional information.
Data mining - the process of analyzing data to extract information not offered by the raw data alone.                        Also known as "knowledge discovery" computer assisted tools and techniques for                                  sitting through and analyzing vast data stores in order to find trends, patterns, and                             correlations that can guide decision making and increase understanding. 
Data mining tool - uses a variety of techniques to find patterns and relationships in large volumes of                                  information. 

Information Cleansing or Scrubbing
a process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information.




Business Intelligence
refers to applications and technologies that are used to gather, provide access, analyze data, and information to support decision making effort.





No comments:

Post a Comment