Introduction of Week 9 Return assignment 5-2 Collect assignment 3-1-4 and 8-1 Review of week 8 Trigger SDLC vs. DBLC Conceptual design -> logical -> physical Database design topics: security, backup and recovery, top-down vs. bottom-up, centralized vs. decentralized Database Management Systems

Module 4 Database Warehousing and Data Mining

Data Warehouse-Based Solutions Database Management Systems

Decision Support It is a methodology (or series of methodologies) designed to extract information from data and to use such information as a basis for decision making Database Management Systems

Decision Support Systems Arrangement of computerized tools used to assist managerial decision making within a business Usually requires extensive data “massaging” to produce information Used at all levels within an organization Often tailored to focus on specific business areas Provides ad hoc query tools to retrieve data and to display data in different formats Database Management Systems

Main Components of DSS Data store component Basically a DSS database Data extraction and filtering component Used to extract and validate data taken from operational database and external data sources End-user query tool Used to create queries that access database End-user presentation tool Used to organize and present data Database Management Systems

Main Components of DSS Database Management Systems

Transforming Operational Data Database Management Systems

DSS Data Characteristics Database Management Systems

Example 1 of Sales History Database Management Systems

Example 2 of Sales Summaries Database Management Systems

The Data Warehouse Integrated, subject-oriented, time-variant, nonvolatile database that provides support for decision making Database Management Systems

Data Warehouse Characteristics Database Management Systems

Creating a Data Warehouse Database Management Systems

DSS Architectural Styles Database Management Systems

Online Analytical Processing Advanced data analysis environment that supports decision making, business modeling, and operations research OLAP systems share four main characteristics: Use multidimensional data analysis techniques Provide advanced database support Provide easy-to-use end-user interfaces Support client/server architecture Database Management Systems

Comparison - View of Sales Database Management Systems

OLAP Server Arrangement Database Management Systems

OLAP Server Arrangement (2) Database Management Systems

Typical ROLAP C/S Architecture Database Management Systems

MOLAP C/S Architecture Database Management Systems

Star Schemas Data modeling technique used to map multidimensional decision support data into a relational database Creates the near equivalent of a multidimensional database schema from the existing relational database Yield an easily implemented model for multidimensional data analysis, while still preserving the relational structures on which the operational database is built Has four components: facts, dimensions, attributes, and attribute hierarchies Database Management Systems

Simple Star Schema Database Management Systems

Possible Attributes for Sales Dimensions Database Management Systems

3-D View of Sales Database Management Systems

Slice and Dice View of Sales Database Management Systems

Location Attribute Hierarchy Database Management Systems

Attribute Hierarchies In Multidimensional Analysis Database Management Systems

Star Schema for Sales Database Management Systems

Orders Star Schema Database Management Systems

Normalized Dimension tables Database Management Systems

Data Warehouse Project Numerous constraints: Available funding Management’s view of the role played by an IS department and of the extent and depth of the information requirements Corporate culture No single formula can describe perfect data warehouse development Database Management Systems

Data Warehouse Implementation Road Map Database Management Systems

Data Mining Problem: too much data and not enough information Tools that: analyze data uncover problems or opportunities hidden in data relationships, form computer models based on their findings, and then use the models to predict business behavior Require minimal end-user intervention Database Management Systems

Knowledge From Data Database Management Systems

Data-Mining Phases Database Management Systems

Sample of DW Vendors Database Management Systems

Wrap Assignment 9-1: SQL Lab 4 OLAP Question 16 on page 603 Database Management Systems