MSBI – Microsoft BusinessIntelligence

A Brief Introduction on DATA Warehouse

SSIS , SSAS , SSRS

• what is Data warehouse ?? with different examples. How data mining works with data warehouse.

• What is MSBI ??

• Why Customers are moving towards MSBI (Microsoft SQL Server 2005/2008) though they already had Other RDBMS for eg. (Oracle) as source.

• Understanding the terminologies of Data warehouse (DWH)

This Presentation will Clears you the

following things.

What is Data Warehouse

Raugh kimball – In simplest terms Data Warehouse can be defined as collection of Data marts. -Data marts : Subjective collection of Data.

Bill Inmon – A data warehouse is a “subject-oriented, integrated, timevariant,and nonvolatile” collection of data in support of management’s decision-making process.”ERP

will Run the Business- like how Tyres Run the Car

BI (Reports,Data mining,Dashboards,kpi’s)will help you to take business decisions based on your historical data. - like Steering, mirrors, breaks, dashboards will help, how smoothly you can run the Car or reach the Destination.

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Which are our lowest/highest margin customers ?

Which are our lowest/highest margin customers ?

Who are my customers and what products are they buying?

Who are my customers and what products are they buying?

Which customers are most likely to go to the competition ?

Which customers are most likely to go to the competition ?

What impact will new products/services have on revenue and margins?

What impact will new products/services have on revenue and margins?

What product prom--otions have the biggest impact on revenue?

What product prom--otions have the biggest impact on revenue?

What is the most effective distribution channel?

What is the most effective distribution channel?

In What way a Data warehouse helps any BusinessLet’s say A producer wants to know….

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Data, Data everywhere yet ...• I can’t find the data I need

– data is scattered over the network– many versions, subtle differences

• I can’t get the data I need• need an expert to get the data

• I can’t understand the data I found• available data poorly documented

• I can’t use the data I found• results are unexpected• data needs to be transformed from one

form to other

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A single, complete and consistent store of data obtained from a variety of different sources made available to end users in a what they can understand and use in a business context.

[Barry Devlin]

What is Data Warehouseing

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What are the users saying...

• Data should be integrated across the enterprise

• Summary data has a real value to the organization

• Historical data holds the key to understanding data over time

• What-if capabilities are required

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A process of transforming data into information and making it available to users in a timely enough manner to make a difference

[Forrester Research, April 1996]

Data

Information

What is Data Warehouseing

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Data Warehousing -- It is a process• Technique for assembling and

managing data from various sources for the purpose of answering business questions. Thus making decisions that were not previous possible

• A decision support database maintained separately from the organization’s operational database

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Data Mining works with Warehouse Data

Data Warehousing provides the Enterprise with a memory

Data Mining provides the Enterprise with intelligence

We want to know ...• Given a database of 100,000 names, which persons are the least likely to

default on their credit cards?

• Which types of transactions are likely to be fraudulent given the demographics and transactional history of a particular customer?

• If I raise the price of my product by Rs. 2, what is the effect on my ROI?

• If I offer only 2,500 airline miles as an incentive to purchase rather than 5,000, how many lost responses will result?

• If I emphasize ease-of-use of the product as opposed to its technical capabilities, what will be the net effect on my revenues?

• Which of my customers are likely to be the most loyal?

Data Mining helps to extract such information

What is BI : Implementing a data warehouse on any business using some set of tools is called Business Intelligence.

Now what is MSBI : From SQL SERVER 2005 Microsoft introduced a complete tool kit inside the SQL SERVER to implement Data warehoue.

That means a set tools from MICROSOFT SQL SERVER which helps you to implement a data warehouse is called MSBI.

Which includes the following SSIS – SQL Server Integration services (ETL Tool)SSAS – SQL Server Analysis servicesSSRS – SQL Server Reporting services

Now what is MSBI ??

Administrator : The person who can manage the complete administration part of the Data warehouse, similar to DBA.

ETL Developer : The person who works on SSIS or any other ETL Tools like Informatics.

Cube Developer/OLAP Developer : The person who works on SSAS Cube creations and MDX language.

Report Developer : The person who works on SSRS

The Different Roles of Data WarehouseDevelopers

Base Product$ 25K $ 40K $ 25K

Oracle 10g

IBM DB2

Why Only MSBI ?When you had OBIEE

(Oracle)When you had BWH

(SAP)

Base Product

Manageability

(included)

$ 25K $ 40K $ 25K $ 56K $ 35K

Tuning $3K

Diagnostics $3K

Partitioning $10K

Performance

Expert$10K

Base Product

Manageability

(included)

$ 25K $ 35K $ 154.5K $ 56K$ 116K

Business Intelligence

OLAP $20k

Mining$20k

BI Bundle$20k

DB2 OLAP $35KDB2

Warehouse $75K

Cube Views $9.5K

Base Product

Manageability

(included)

$ 25K $ 154.5K $ 164.5K $ 232K$ 116K

Business Intelligence

High Availability

Data Guard $116K Recovery

Expert$10k

Base Product

Manageability

(included)

High Availability

Business Intelligence

Multi-core

$348k - $464k

$ 232K$ 25K $ 164.5K $ 329K

$164.5K$116K - $232K

Additional BenefitNumber of Users

What happened?

Why did it happen?

What will happen?

What happened why and how?

Reporting

Interactive OLAP

Ad hoc-Queries

Data Mining

FRONTEND TOOLS

DWH TERMINOLOGIESOLTP – Online Transaction ProcessingOLAP – Online Analytical ProcessingMOLAP – Multidimensional OLAPROLAP – Relational OLAPHOLAP – Hybrid OALP Dimensions – De-normalized master tables Attributes – Columns of DimensionsHierarchies – sequential order of attributesFacts (Measure group) – Transactions tables in DWHFact (Measures)Cubes – Multidimensional storage of DataKPI’s – Key performance indicatorDashboards – combination of reports,kpis,chartsData Marts – Subjective Collection of DataSCD’s – Slowly changing DimensionsPerspectives – Child Cube

DWH ARCHITECTURE

OperationalData Sources

Data-Migration Middleware (Populations-Tools)

DataStorage

Repository

DataAnalysis

Reporting, OLAP,Data Mining

PRACTICAL SCENARIO

Stage DB Optional

ROLAP

OLTP

MOLAP

O L A P

SSIS

Integration Services Analysis Services

Reporting Services

SSAS

SSRS

SSISData Marts

CUBE

OLTP VS OLAP1. OLTP (on-line transaction processing)

2. Day-to-day operations: purchasing, inventory, banking, manufacturing, payroll, registration, accounting, etc.

1. OLAP (on-line analytical processing)

2. Data analysis and decision making

3. The tables are in the Normalized form. 3. The tables are in the De-Normalized form.

5. For Designing OLTP we used data modeling.

5. For Designing OLTP we used Dimension modeling.OLAP is classified into two i.e.,MOLAP & ROLAP

4. We Called the Storage objects as Tables. i.e., All the masters and the Transactions are stored in the tables.

4. We Called the Storage objects as Dimension and Facts. i.e., All the masters Are dimension and the Transactions are Facts.

OLTP ROLAPM a s t e r s D i m e n s i o n s

Product

Prod_Id

Prod_Name

Base_Rate

Cat_IdCategory

Cat_Id

Cat_Name

Cat_Desc

Group_IdGroup

Group_Id

Group_Name

Group_Desc

Product_Dim

Prod_Id

Prod_Name

Base_Rate

Cat_Name

Cat_Desc

Group_Name

Group_Desc

Topics Later We will Cover

2. Slowly changing Dimensions1. Types of Dimensions

3. Hierarchies

Normalized Tables De-Normalized Tables

OLTP ROLAPTr a n s a c t i o n s F a c t s

SalesOrder_Fact

Cust_Id

Prod_Id

Order_Date

Delivery_Date

Unit_Price

Qty

Total_Amount

Tax

SalesOrderDetails

Cust_Id

SalesPerson

Prod_Id

Order_Date

Booked_Date

Delivery_Date

Unit_Price

Qty

Tax

Created_By Qty*Unit_Price+Tax=Total AmountUsually calculate all the calculations before storing into OLAP

Reference keys of Dimensions

Numeric fields called as Fact or measure

ROLAP MOLAPD i m e n s i o n s & F a c t s C u b e s

Prod_Dim

Prod_Id

………

Cust_Dim

Cust_Id

………

Time_Dim

Date

Year

Month

………

Org_Dim

Org_Id

………SalesOrder_Fact

Cust_Id

Prod_Id

Order_Date

Delivery_Date

Org_Id

Unit_Price

Qty

Total_Amount

Tax

STAR Schema

NOW WHAT IS OLAP ?

Product_Dim

Prod_Id

Prod_Name

Base_Rate

Cat_Name

Cat_Desc

Group_Name

Group_Desc

SalesOrder_Fact

Cust_Id

Prod_Id

Order_Date

Delivery_Date

Unit_Price

Qty

Total_Amount

Tax

D i m e n s i o n s F a c t s C u b e s

ROLAP MOLAP

MOLAP SCHEMAS t a r S n o w F l a k e

1. Dimensions will have only relation with the Fact. (Normalized model)

1. Dimension will have a relation other than Fact. (De-Normalized model)

2. One to many or One to One relation will Occur.

2. Used for many to many relation.

3. Performance is fast but required huge storage space.

3. Performance is Low but required Less storage space.

QUERIES ?

THANK YOU