Business intelligence (BI) simplifies advice discovery and evaluation, which makes it feasible for decision makers at all levels of an organization to more readily reach, comprehend, assess, collaborate, and act on advice, anytime and anyplace. That conventional analyst is demonstrated by this definition for BI -driven BI programs have developed to contain multiple initiatives to quantify, manage, and improve on the performance of business units, and people, procedures, teams. Because of this, MSBI Online Training tools are delivered by Microsoft that possess the flexibility to work how that they do and that may give every worker use of the data needed to make educated choices.One of the best MSBI Online Training at IT HUB Online Training.
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4. Microsoft Business Intelligence (BI) is a suite of
products and tools that you can use to monitor, analyze
and plan your business by using scorecards,
dashboards, management reporting and analytics.
It contains the following tools:
SQL Server Analysis Services (SSIS)
SQL Server Integration Services (SSAS)
SQL Server Reporting Services (SSRS)
Performance Point Services (PPS) which was added as
a free service in Microsoft Office SharePoint 2010
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.
7. 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.
9. 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.
11. 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…
12. 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
