OLAP and its Types-Data Warehouse-Lecture Slides, Slides of Data Warehousing

Topics include in this course are Data Warehousing Concepts, Design and Development, Extraction, Transformation and Loading, OLAP Technology, Data Mining Techniques: Classification, Clustering and Decision Tree, Advanced Topics. This lecture includes: OLAP, Types, Analysis, Service, Architecture, Decision, Support, Systems, Model, Compare, Contrast, Star, Schema

Typology: Slides

2011/2012

Uploaded on 08/08/2012

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OLAP๎˜ƒand๎˜ƒits๎˜ƒTypes
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Download OLAP and its Types-Data Warehouse-Lecture Slides and more Slides Data Warehousing in PDF only on Docsity!

OLAP

and

its

Types

Contents

**1. Analysis Service Architecture/Three โ€ tier Decision Support Systems

Approaches to OLAP servers

Multi โ€ dimensional data model

ROLAP, MOLAP, HOLAP

Which to choose: Compare and Contrast**

The

Complete

Decision

Support

System

Information Sources Data Warehouse Server(Tier 1) OLAP Servers (Tier 2) Clients(Tier 3) Operational DBโ€™s Semistructured Sources extracttransformloadrefreshetc. Data Marts Data Warehouse e.g., MOLAP e.g., ROLAP serve OLAP Query/Reporting Data Mining serve serve

Three

Tier

Decision

Support

Systems

Warehouse

database

server

Almost always a relational

DBMS

OLAP

servers

Relational

OLAP

(ROLAP):

extended relational

DBMS

that maps operations on multidimensional data to standard relational operators

Multidimensional

OLAP

(MOLAP):

special

purpose server that directly implements multidimensional data and operations

Clients

Query and reporting tools

Analysis tools - Data mining tools

OLAP

โ€“ What

is

it?

The

activity

of

interactively analyzing business transaction data ๏ƒ 

stored in the dimensional data warehouse

to make tactical and strategic business decisions

Examples:

analyzing the effectiveness of a marketing campaign bymeasuring sales growth over a certain period

analyzing the impact of a price increase on the productsales in different regions and product groups during thesame period of time

Cube

logical

design

by

which

the

data

is

referenced

underlying

data

might

be

stored

using

a

number

of

different

methods

OLAP: Revision of Important Concepts

A slice is a subset of a multidimensional arraycorresponding to a single value for one ormore members of the dimensions not in thesubset.

Cube

Slicing

Cube

Slicing

In the case of dicing, you define a subcube ofthe original space.

The data you see is that of one cell from thecube.

Cube

Dicing

Cube

Dicing

Cube

Rotating

Aggregation

OLAP

Models

Relational

OLAP

ROLAP