MSBI stands for 'Microsoft Business Intelligence'. It consists of tools which help in providing solutions that are optimized. Visual studio is used by MSBI online training as well as SQL server, which empower users to access current and precise info for judgment that is first-class.MSBI enable users to find, assess and visualize information with strong self service BI in Excel and additionally empowers cooperation and sharing of data and reports with SharePoint. http://www.ithubonlinetraining.com/msbi-online-training/

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4.  Microsoft offers several tools that transform the info
associated with company into an advice. These tools may
be used together with the interface of Visual Studio. With
the start of SQL Server 2012, Business Intelligence
development Studio (BIDS) was shifted to SQL Server
Data Tools (SSDT).Database Management Systems
(DBMSs) are particularly, tailored software applications
which communicates using the user, other programs as
well as the database itself to record and assess the data. A
DBMS that is general is a system of applications which
is designed in ways it enables creating, defining,
querying, updating and managing the databases.

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