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3.  Our Trainers are certified and highly skilled in their
technologies.
 Our Trainers provides online training with real time
Methodologies.
 We provide sophisticated study material.
 Recorded videos of regular online sessions.
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4.  MSBI stands for 'Microsoft Business
Intelligence'. It consists of tools which helps in
providing solutions that are optimized . Visual
studio is used by mSBI as well as SQL server,
which empower users to access current and
precise info for judgement that is first-class.

5.  MSBI is divided into 3 categories:-
 SSIS – SQL Server Integration Services –
Integration tool.
 SSAS – SQL Server Analytical Services -
Analysis tool.
 SSRS – SQL Server Reporting Services –
Reporting tool.

6.  SQL Server Integration Service (SSIS):
 SSIS is the ETL tool from Microsoft.
 Integration Services is a platform for building high-performance
data integration and workflow solutions, including extraction,
transformation and loading (ETL) operations for data
warehousing.
 We can process the data from various locations and various
formats (source locations) and save the data into a centralized
repository as a Data Warehouse/Data Mart (destination).

8.  SQL Server Analysis Service (SSAS)
 This is the process of converting two dimensional (rows and
columns/OLTP) data into multi-dimensional data model (OLTP).
This will help you to analyze the large volume of data.
 Some of the advantages:
 Multi-dimensional analysis
 Key performance Indicator (KPI)
 Score card
 Slice, dice, drill down functionalities
 Good performance

10.  What Is Microsoft BI?
Core concept – BI is the cube
or UDM
 Example cube as seen using
Excel pivot table
 MS BI is comprehensive –
more than Analysis Services
on SQL Server
 Demonstration of SQL
 Reporting Services with cube
as data source
 OLAP Modeling
 Modeling source schemas—
stars and snowflakes
Understanding dimensional
 modeling— Dimensions (Type
1, 2, or 3) or rapidly
changing
 Understanding fact
(measures) and cube
modeling
 Other types of modeling—
data mining etc…

11.  Using SSAS in BIDS
 Understanding the
 development environment
 Creating Data Sources and
Data Source Views
 Creating cubes – using the
UDM and the Cube Build
Wizard
 Refining Dimensions and
Measures in BIDS
 Intermediate SSAS
 KPIs
 Perspectives
 Translations – cube metadata
and currency localization
 Actions – regular, drill-
through and reporting
 Advanced SSAS
 Using multiple fact tables

12.  Modeling intermediate fact
tables
 Modeling M:M dimensions, Fact
(degenerate) dimensions, Role-
playing dimensions, write back
dimensions
 Modeling changing dimensions –
Dimension Intelligence w/
Wizard
 Using the Add Business
Intelligence Wizards – write-
back, semi-additive measures,
time intelligence, account
intelligence
 Cube Storage and Aggregation
 Storage topics – basic
aggregations, MOLAP
 Advanced Storage Design –
MOLAP, ROLAP, HOLAP
 Partitions – relational and
Analysis Services partitions
 Customizing Aggregation Design
– Processing Design
 Rapidly changing dimensions /
ROLAP dimensions