An Introduction to MSBI & DWH by QuontraSolutions

8/10/2019 An Introduction to MSBI & DWH by QuontraSolutions

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Presented By

Quontra Solutions

Email

: [email protected] : 404-900-9988Website : www.quontrasolutions.com


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DataBase DB)

A place where the collection of records will be maintained in a structured format so that It

can be easily retrieved when ever required is known as a database.

One of the most popularly used database model is

the relational model. It was developed by EdgarCodd in 1969.

Example :

How do you think the Organizations store their

employee and customer information? they store it in

a database.

where do you think the website maintains the login

information about their users?

they store it in a database.


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ERP

ERP, which is an abbreviation for Enterprise

Resource Planning, is principally an integration

of business management practices and modern

technology.

ERP is a business tool that management uses tooperate the business day-in and day-out.

OLTP

OLTP, which is an abbreviation for Online Transaction

processing, handle real time transactions which inherentlyhave some special requirements. If your running a Bank, for

instance, you need to ensure that as people withdrawing

money from ATMS they are properly and efficiently updating

the database also those transactions are properly effecting to

their Accounts.


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Data, Data everywhere yet ...

I cant find the data I need

data is scattered over the network

I cant get the data I need need an expert to get the data

I cant understand the data I found

available data poorly documented

I cant use the data I found results are unexpected

data needs to be transformed fromone form to other


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In What way I can Answer the above question withmy OLTP system...

Is Data Warehousing is the Solution ??YES

Can I Improve mybusiness using Data

warehousing ??

YES..How ??


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Which are ourlowest/highest margincustomers ?

Who are my customersand what products

are they buying?

Which customers

are most likely to goto the competition ?

What impact willnew products/serviceshave on revenue

and margins?

What product prom-

-otions have the biggestimpact on revenue?

What is the mosteffective distributionchannel?

Data warehouse helps any Business in ManyWays

Lets say A producer wants to know.


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DWH Data Warehousing)

It usually contains historical data derived from transaction data, but it can include data

from other sources. It separates analysis workload from transaction workload and

enables an organization to consolidate data from several sources.

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, time variant and nonvolatile collection

of data in support of managements decision-making

process.


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OLAP Online Analytical Processing)

The ability to analyze metrics in different dimensions such as time, geography, gender,

product, etc. For example, sales for the company is up. What region is most responsible forthis increase? Which store in this region is most responsible for the increase? What

particular product category or categories contributed the most to the increase? Answering

these types of questions in order means that you are performing an OLAP analysis.

OLAP servers provides better performance foraccessing multidimensional data. The most important

mechanism in OLAP which allows it to achieve such

performance is the use of aggregations.

Aggregations are built from the fact table by

changing the granularity on specific dimensions andaggregating up data along these dimensions.

OLAP systems gives analytical capabilities that are

not in SQL or are more difficult to obtain.


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1. 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-Normalizedform.

5. For Designing OLTP we used datamodeling.

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

4. We Called the Storage objects asTables. i.e., All the masters and theTransactions are stored in the tables.

4. We Called the Storage objects asDimension and Facts. i.e., All the masters

Are dimension and the Transactions are

Facts.


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SalesOrder_Fact

Cust_Id

Prod_Id

Order_Date

Delivery_Date

Unit_Price

Qty

Total_AmountTax

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 calculationsbefore storing into OLAP

Referencekeys of

Dimensions

Numericfieldscalled as

Fact ormeasure


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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_IdUnit_Price

Qty

Total_Amount

Tax

STAR Schema


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Product_Di

m

Prod_Id

Prod_NameBase_Rate

Cat_Name

Cat_Desc

Group_Name

Group_Desc

SalesOrder_Fact

Cust_Id

Prod_Id

Order_Date

Delivery_Date

Unit_Price

Qty

Total_AmountTax


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Data Warehousing --It is a process

Technique for assembling andmanaging data from varioussources for the purpose of

answering business questions.Thus making decisions that werenot previous possible

A decision support databasemaintained separately from theorganizations operational

database


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Base Product

$ 25K $ 40K $ 25K

Oracle 10gIBM DB2


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Base Product

Manageability

(included)

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

Tuning$3K

Diagnostics$3K

Partitioning$10K

PerformanceExpert$10K


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Base Product

Manageability

(included)

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

BusinessIntelligence

High Availability

Data Guard$116K Recovery

Expert$10k

$164 5K$116K -


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Base Product

Manageability

(included)

High Availability

BusinessIntelligence

Multi-core

$348k -$464k$ 232K$ 25K $ 164.5K$ 329K

$164.5K$116K -$232K


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Operational

Data Sources

Data-Migration

Middleware (Populations-Tools)

DataStorage

Repository

Data

AnalysisReporting, OLAP,

Data Mining


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Additional BenefitNumber of Users

Whathappened?

Why didit happen?

What willhappen?

What happenedwhy and how?


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OLTPOnline Transaction ProcessingOLAPOnline Analytical ProcessingMOLAPMultidimensional OLAPROLAPRelational OLAPHOLAPHybrid OALPDimensionsDe-normalized master tables

AttributesColumns of DimensionsHierarchiessequential order of attributesFacts (Measure group)Transactions tables in DWHFact (Measures)CubesMultidimensional storage of DataKPIs Key performance indicator

Dashboardscombination of reports,kpis,chartsData MartsSubjective Collection of DataSCDs Slowly changing DimensionsPerspectivesChild Cube


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An Introduction to MSBI & DWH by QuontraSolutions

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