data mining

1. UNIVERSITY OF KASHMIR
SUBJECT
DATA MINING AND WAREHOUSING
Presented by
BASIT HASSAN
Roll no.
19048112018

2. CONTENTS
 Information Delivery
 Components
 Data Modelling
 Data Design
 Roles

3. Information Delivery in Data Warehousing
 Information delivery is a crucial aspect of data warehousing.
 It involves providing relevant data and insights to decision-makers.
 The goal is to support informed decision-making and improve
business performance.

4. Components of Information Delivery
 Queries and Repots.
 Types of Analysis.
 Information Distribution.
 Decision Support Applications.
 Growth and Application.

5. Data Modelling
 Data modelling is the process of designing the structure and organization
of data in a data warehouse.
 It involves identifying and defining entities, attributes, relationships, and
constraints to create an effective data model.
 Data modelling helps in organizing and managing data efficiently to
support business intelligence and reporting.
 It also helps us to know about the roles of different people.

6. Data Design
Requirement
gathering
Requirement
definition
document
Data Design
Dimensional
models
 Design Decisions
 Choosing the process
 Choosing the grain
 Identifying dimensions
 Choosing facts
 Choosing duration of
database
Info package

7. Roles
 Data Engineer : Data Engineer involves in preparing data. They develop,
constructs, tests & maintain complete architecture.
 Analytics Engineer : An analytics engineer is someone who moves and
transforms data from the source so that it can be easily analyzed, visualized,
and acted upon by the data analyst or business user
 Data Analyst : Data analysts concentrate on evaluating data to draw
conclusions that can be utilized to create data-driven decisions. They gather,
purify, and manipulate data before using tools to analyze and visualize it.

8. THANK YOU!