2. CONTENTS
Introduction and Terminology
Data Warehousing
Data Mining
Applying Data Warehousing Ideas to Project Data
Software Requirements
Data Flow Diagram
Snapshots
Admin Panel Snapshots
4. WHAT IS DATA WAREHOUSE?
Loosely speaking, a data warehouse refers to a
database that is maintained separately from an
organization’s operational database
Officially speaking:
“A data warehouse is a subject-oriented,
integrated, time-variant, and nonvolatile
collection of data in support of management’s
decision-making process.”—William. H. Inmon
6. DATA MINING
Process of discovering interesting patterns or
knowledge from a (typically) large amount of data
stored either in databases, data warehouses, or
other information repositories
Alternative names:
knowledge discovery/extraction,
information harvesting, business intelligence
In fact, data mining is a step of the more general
processof knowledge discovery in databases (KDD)
10. Pulling data together
Data may be pulled in and manipulated at any
point along the way; the programmer may mix
together the program logic that acquires the data
with the program logic that generates the desired
results from it in any way that seems easy and
efficient.
11. Using data correctly
Data cleaning goes a long way toward ensuring
that data will be used correctly, but a well-
designed data warehouse goes beyond this. A
data warehouse uses additional variables and
documents to describe the meaning of data
elements,values, and records. This additional
data is called metadata because it describes the
data being used.The data warehouse approach:
Use metadata to describe the meaning and
source of data.
12. SOFTWARE REQUIREMENTS :
Operating system: windows 9X, 2000,XP
Language: PHP
Database: MySql
Memory Requirements: 64MB RAM or higher