Thuyết trình OLAP USING SSAS TO ANALYZE OLAP CUBE IN RETAIL DATABASE

of view• OLAP allows users to analyze database information from multiple database systems at one time • OLAP data is stored in multidimensional databases... INTRODUCTION TO OLAP• Some po

OLAP & USING SSAS TO ANALYZE OLAP CUBE IN RETAIL DATABASE

Group 9: Number Four

1 THANG MAI HOANG

2 TRAM TRAN THANH

3 LINH NGUYEN THI THUY

4 NGUYEN BUI BA Advisor:

Associate Professor Phuc Do

Hey Employee, how much money we made last

year?

Employee: $1 billion dollars Sir !

How much did we make per year per quarter?

Which products did well and which failed?

What are the sales by region, country, by year, by

quarter etc

Employee (thinking ) : Hmm What is the best

way to do this?? :=(

???

• The first product that performed OLAP queries was Express, which was released in 1970 (and acquired by Oracle in 1995

from Information Resources) However, the term did not

appear until 1993 when it was coined by Ted Codd, who has

 History

of view

• OLAP allows users to analyze database information

from multiple database systems at one time

• OLAP data is stored in multidimensional databases

1 INTRODUCTION TO OLAP

• Some popular OLAP server software programs

Solutions Essbase

• OLAP processing is often used for data mining

• OLAP products are typically designed for

software based on the number of users

 What is OLAP?

1 INTRODUCTION TO OLAP

1 INTRODUCTION TO OLAP

9

• Data layout

2 THE OLAP CUBE

• An OLAP Cube is a data structure that allows fast

analysis of data

• The arrangement of data into cubes overcomes a limitation of relational databases

• The OLAP cube consists of numeric facts called

measures which are categorized by dimensions

• A multidimensional cube can combine data from disparate data sources and store the information in a fashion that is logical for business users

2 THE OLAP CUBE

2 THE OLAP CUBE

13

3 OLAP OPERATIONS

 Roll-up : move up the

hierarchy

◦ e.g given total sales

per city, we can

roll-up to get sales per

◦ lowest level can be

category region year

product country quarter

state month week

city day

store

PRODUCT LOCATION TIME

3 OLAP OPERATIONS

15

 Pivoting : aggregate on selected dimensions

◦ usually 2 dims (cross-tabulation)

5 OLAP ADVANTAGES &

DISADVANTAGES

• Offer quicker analysis

• Great reporting tool

• Improves decision making

• Flexible

Advantages

• Rely on data warehouse environment

• Complexity of the queries

• Result set be materialized

in memory before returning

to the client

Disadvantages

6 DATA WAREHOUSE

 Benefits

interest regardless of the data's source

Present the organization's information consistently

Enabling a central view across the enterprise

Maintain data history

Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems

Data Warehouse

Extract Transform Load

Refresh

OLAP Engine

Analysis Query Reports Data mining

6 DATA WAREHOUSE

23

 Data warehouse design

represent the multidimensional model

– LOCATION(location_key,store,street_address,city,state,

country,region) – dimension tables are not normalized

• Transactions are described through a fact-table

– each tuple consists of a pointer to each of the tables (foreign-key) and a list of measures (e.g sales $$$)

dimension-Fact Table

Location Item Number Buyer Number Supplier Number Time Period

Dollar Purchases Unit Purchases

Dimension Table

Item Number

Item Name Description Category Subcategory

Dimension Table

Buyer Number

Buyer Name Department Division City State Region Country Dimension Table

Supplier Number

Supplier Name Industry Category Subcategory

State Region Country Address

7 SQL SERVER ANALYSIS SERVICE

25

 Olap with SQL Server Analysis Service

• Microsoft SQL Server Analysis Services, SSAS, is an online analytical processing (OLAP), data mining and reporting tool in Microsoft SQL Server SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables Microsoft has included a number of services in SQL Server related to business intelligence and data warehousing These services include Integration Services and Analysis Services Analysis Services includes a group of OLAP and data mining capabilities

SSAS Clients Physical Architecture

8 OLAP CASE STUDY

27

 Number Four Global is having different malls in

different countries, where daily sales take place for various products Higher management is facing an issue while decision making due to non availability of integrated data they can’t do study on their data as per their requirement So they asked us to design a system which can help them quickly in decision making

 Overview Shopping mall & report requirements

8 OLAP CASE STUDY

29

[1] Himanshu Tiwari Data Mining, Warehousing and OLAP Technology Galgotia’s college of

Engineering and technology Gr.Noida 2014

[2] Siddhant Mehta, PoonamRawat, Prerna Malik Overview of Multidimensional Data Model –

OLAP International Journal Of Research 2014

[3] Dr Walid Qassim Qwaider Apply Online Analytical Processing (OLAP) With Data Mining For

Clinical Decision Support International Journal Of Managing Information Technology 2012

[4] Robert Wrembel & Christian Konci Data Warehouses And OLAP – Concepts, Architectures and Solutions Pozan University Of Technology, Poland 2006

[4] How to Create OLAP Cube in Analysis Services,

[5] OLAP and Business Intelligence Tutorials, http://olap.com/learn-bi-olap/tutorials/ , View on 26 July 2015

[6] Trần Vũ Hải Áp Dụng Kỹ Thuật Phân Tích Dữ Liệu Trực Tuyến (OLAP) Phục Vụ Công Tác Quản

31