2. What is Power BI?
Power BI is a Data visualization and Business Intelligence
tool which helps to convert data from different data sources
into interactive dashboards and BI reports.
Power BI is a unified, scalable platform for self-service and
enterprise business intelligence (BI).
It provides multiple connectors, software and services.
3. History of Power BI
Power BI was thought by Ruler and Dhers Netz of the SQL
server coverage services team at Microsoft.
It was designed by the West Chadic George in 2010 and
named as a Project Crescent. In September 2014, Microsoft
revealed the first preview to Power BI.
The first version of Power BI is released on 24 July, 2015.
It was based on Excel-based Add-ins such as Power Query
Pivot, View and Map.
4. Why we need Power BI?
To view, analyze and visualize huge quantities of data that
cannot be opened in Excel.
To create charts, reports and dashboards for a long theme
that provide a soon consumer look on the reports and
having more questions on a report about the data.
Power BI uses powerful compression algorithms to import
and cache the data within the .PBIX file.
5. Why we need Power BI?
Power BI makes things visually appealing. It has easy drag
and drop functionality.
Using Power BI with Azure allows us to analyze and share
large volumes of data.
Power BI fetches data from factory sensors and social media
sources to get access to real-time analytics.
6. Components of Power BI
Power Query.
Power Pivot.
Power View.
Power Map.
Power BI Desktop.
Power Q and A.
7. Power Query: It is used to access, search and transform
public and internal data sources.
Power Pivot: Power Pivot is used in data modeling for
in-memory analytics.
Power View: By using it, we can analyze, visualize and
display the data as an interactive data visualization.
Components of Power BI
8. Power Map: It brings the data to life with interactive
geo-graphical visualization.
Power BI Desktop: It is a development tool for Power
Query, Power Pivot and Power View.
Power BI Q and A: Power BI Q and A is a natural
language engine for questions and answers to the data
model.
Components of Power BI
9. Advantages of Power BI
Easy to use.
Efficient use of resources.
Secure report publishing.
Rich personalized dashboards.
Constant innovation.
No memory and speed constraints.
Advanced analytics.
10. Disadvantages of Power BI
Not accept files larger than 1 GB.
The integration to dynamics CRM is limited.
No data cleaning service.
Performance issues when handling massive data
volumes.
Complex to understand the entire tool.
Limited modification in the data visualization.