Power BI is a Data Analysis and Visualization tool for BI users which help them in performing analysis, data modelling and preparing reports from a wide range of data acquired from the data source. Need to know, find out What is Power BI.
Building Blocks of Power BI
The building block of Power BI include the following:
- Visualizations: Representation of data in the form of visuals is termed as Visualizations in Power BI. There are many other Visualization tools available; Find out more about Power BI Vs. Tableau.
- Datasets: The visualization that is created in Power BI is composed of the collection of data. This collection of data is known as datasets.
- Reports: The data collected in a visual form comprising of several pages is known as Reports.
- Dashboard: The place where the collection of different visualizations is placed in Power BI is called a Dashboard.
- Tiles: A single visualization on the dashboard represented as a Tile.
Power BI Components
Power BI made of 8 components. These components can even be used individually. The Components are:
- Power Query: it mashes the data and transforms it.
- Power Pivot: it helps in data Modelling.
- Power View: Data Visualization tool.
- Power Map: It helps in 3D viewing the geo maps.
- Power Q&A: It helps Assisting in natural language. Question and answering engine.
- Power BI Service: It is a companion tool of Power Bi.
- Data Management Gateway: It joins data to the cloud.
- Data Catalog: to recover & reuse queries.
Let us discuss each in more detail below:
Power BI intakes data from Excel and many other data sources. Power Query helps to search the data from sources like social media websites, big data, open data, etc. It also helps in transforming this data into excel readable format to perform the operations like column or row merging in Excel. This data then can be easily fed to Power BI.
In short Power Query is used to access, search, and transform the data from internal or public sources.
It is complicated to handle large amounts of data sets, but with the help of Power Pivot, it is now easy to customize that data and turn it into a flexible environment of Excel. We can easily create KPIs, hierarchies, custom measures, and relationships in just a few clicks. It also allows us to build the data with a simple drag and drop feature.
It is now easy to handle and perform logical operations on a large number of data sets with the help of Power Pivot’s in-memory technology. In short with Power Pivot, it is easy to do data modelling.
Power View is related to directly visualizing data. It helps in developing and provides emphasis on diagrams, charts, animation, graphs, etc. rather than just increasing columns and rows of the data. It builds the gap by developing the visualizations of the data that is received to Power BI.
In short, it displays the data in an interactive visualization by visualizing, analyzing, and presenting the data.
Sometimes the data is such that to understand it, we need to convert it into visualization in geographical map view. For example, if we say there is a particular product of our company which is utilized by the people from different regions according to their geographic location you can quickly insert a geographical map view and then display the data accordingly.
In short, Power Map is used when we visualize the data with the help of geographic map representation.
Power BI Service
To work in Power BI, one must have the understanding of datasets, reports, dashboards, and workspaces. Want to make your first Power BI dashboard in 5 simple steps?
It can be well explained via example, let us consider you are working on Power BI on a particular report. You will have your single dashboard, but the information which you have included in your panel in the form of maybe charts, graphs, etc. are from different datasets. These different tiles on your dashboard are called as tiles in Power BI. These tiles can be sourced from a separate report. Want to know the difference between Power BI dashboards and Power BI reports?
Power BI Questions and Answers
Power BI not only helps in visualizing your data; it also helps in asking questions to it in our natural language to provide more ease. For this, you will need to create a visual space in your data and name it as Q&A.
Once you click on that space Power BI will provide you suggestions related to the name of the data visual as well as the questions can be asked.
Data Management Gateway
Data management gateway joins the data to the cloud, which is on the system or say on-premises. One the data enter to the cloud services it a react faster to the changing datasets and can reflect the visualizations about it more quickly.
In short, by using this, we can refresh our data periodically, data fields can be viewed easily and can also expose tables.
Data Catalog helps you to discover the queries and reuse them quickly. To perform the search function, metadata can be used.
In this article, we learnt about all the Components in Power BI in detail. These components were released in the market individually and thus can be used separately as well. Learning about the components of Power BI gives better Understanding of Power BI.