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1. Introduction to MSBI
BN1014 – Demo PPT
Demo on MSBI

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CONTENTS
• My Professional Experience
• Technical Architecture
• Technical Discussion on one topic
• Different roles of BI Developers
• Technologies
• Training Highlights

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My Introduction
• I have experience in various business domains including
insurance, professional services , Courier services and
manufacturing industries.
• I have worked with various clients Microsoft, HRH, Reynolds.
• I have Designed, Developed & implemented Database
Applications for my clients

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MSBI – Microsoft Business Intelligence

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• OLTP–
• OLTP, which is an abbreviation for Online Transaction processing, handle real
time transactions which inherently have some special requirements. If your
running a Bank, for instance, you need to ensure that as people withdrawing
money from ATM’S they are properly and efficiently updating the database also
those transactions are properly effecting to their Accounts.

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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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OLTP
In What way I can Answer the above question with my OLTP system...
Is Data Warehousing is the Solution ?? YES
Can I Improve my business using Data warehousing ??
YES.. How ??

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Data warehouse helps any Business in Many Ways
Let’s 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.

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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 for this 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 for accessing
multidimensional data. The most important mechanism
in OLAP which allows it to achieve such performance is
the use of aggregations.
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.
3. We Called the Storage objects as
Tables. i.e., All the masters and the
Transactions are stored in the tables.
4. For Designing OLTP we used data
modeling.
1. OLAP (on-line analytical processing)
2. Data analysis and decision making
.We Called the Storage objects as
Dimension and Facts. i.e., All the masters
Are dimension and the Transactions are
Facts.
4. For Designing OLAP we used
Dimension modeling.
OLAP is classified into two i.e.,
MOLAP & ROLAP

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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]

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• SQL SERVER
• SSIS
• SSRS

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• Study material(soft copy)
• Completely practical
• Real world BI Scenarios
• Real world BI Practices
• Class room videos access

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Questions ???

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