Power BI is a growing field today and has become a leader in the business industry. Learning Power BI also opens up a lot of job opportunities for many people making it a promising career. Developed by Microsoft it is used by many categories of users from Analysts to business owners. If you want to get a job in Power BI, this article discusses the Power BI Interview questions and answers.
A business analytics tool developed by Microsoft. It helps business owners to convert unrelated data into visual representation through charts by creating a dashboard. So that it can provide valuable information about data and helps in improving the business.
Learning and applying the insights from data to improve the business is known as Business Intelligence. It has two major fields as of now, BI analysts and BI engineers. This tool will be very helpful for those who are running a business enterprise.
Easy analysis of data which is helpful for taking quick decisions and also easily shareable with others.
DAX – Data Analysis Expression is a formula expression language that is used for analysis, Power BI, and power pivot in excel.
It is a part of Microsoft’s business product suite built for businesses. This makes it easy and more integrated for businesses. Compared to other tools, it helps in creating more advanced visualizations. That’s why Power BI is preferable compared to other tools.
The board, also called Canvas, shows us all the visualizations and makes it easy to interpret. It is easy to interpret the details with the data as they are provided in the visualization form.
Self-service BI focuses only on the process of analytics and reporting along with how a project owner is delegating those tasks to their team. Whereas a managed enterprise BI has an entire overhaul of how data is interpreted and used in the organization.
Power BI is an analytics tool used in business that converts data into visualization and shares insights that can be shared with anyone across departments. Whereas, Tableau is a Business intelligence tool that shares data into actionable information. Power BI can handle only a limited number of data. Tableau on the other hand can handle a huge volume of data.
Self-service BI allows its users to extract information from the data without any knowledge of data mining and statistical analysis. Users can access and share their data easily. To put it simply it is a tool for non-technical users.
A power query is used to import the data whereas a power pivot is used to model the data that has been imported. Both can complement the function of each other. Power query benefits excel users and have an easy-to-use interface. Power pivot handles millions of rows of data that can go beyond excel.
It is also one of the Power BI tools that are used to analyze, interpret and share the data with others with more appealing visuals. One such visual is a map which provides data using a map. It can be used by both technical and non-technical users.
It has three versions at present.
As Power BI has become the leader today in business analytics, many MNCs as well as other businesses are looking for certified professionals in Power BI. It is a good career that provides the opportunity to work in big firms along with a good amount of salary.
It can connect to both local databases as well as those in the cloud. Some of them are
It is a free application that can be installed and used on a local computer. At the same time, the data can be analyzed and shared with anyone. It is a free version of Power BI created specifically for desktops. The desktop version has good visualization and modeling techniques to analyze and share the data.
Power BI service is a tool that is similar to Power BI desktop except that it provides all its services in the cloud. It is the Saas part of the power provider.
Power Pivot helps in creating data models in a more easy way. With this tool, one can analyze large volumes of data from various data sources and can interpret the information faster. You can interpret the imported data easily without slowing down your computer.
To get started, one has to first connect Power BI to excel. Some of the ways to do this are:
Power BI query editor is used to connect to one or many data sources and analyze and transform the data according to your need and load the model into the Power BI desktop. It helps to modify the data based on the needs of its users.
Visualizations also known as visuals are the display insights in data. Power BI contains various visualization options such as simple chars and maps to complex waterfalls and many other components. Visualizations make it easy to present data effectively.
Power BI gateway is the bridge to transfer all the data from a desktop or a system that is not in the cloud to the Microfit cloud services in a quick and secure manner. It is needed to access data on the on-premises network and also to share the data.
The main function is to create and edit power BI content. With these, you can map your data point in different ways. It is used to discover hidden patterns, compare the data and communicate interpretation that helps you in decision-making.
The prerequisites are
The Power BI designer is another name for the Power BI desktop that provides all of the commonly used Power BI tools in one place such as Power query, power pivot, power map, etc. One can aggregate, interpret, and model the data all in one place on a desktop.
There are many options in the ‘Get Data’ icon in Power BI. These options allow us to import data in Power BI, create visualizations, load the data, and view the loaded data in the fields pane.
Custom visualizations enable its users to create their own data models for data visualization. It can be done using representations that don’t come under the in-built library.
For managing and storing data, Power BI uses Azure Active Directory (AAD) and for metadata, it uses Azure BLOB and Azure SQL Database.
Power BI is easy to use and has an easy interface when compared to Power Pivot. Also, Power BI makes it easier to change from reports to dashboards and dashboards to datasets. Whereas it is a little difficult in Power Pivot.
Data shaping can be done using data editing.
KPI is a Key Performance Indicator that can tell us the progress we have made toward our goals. For example, targeting new customers, achieving a fixed number of sales, etc.
A Calculated column defines a column’s value by using DAX functions. It can do it by putting together text values for one column and numerical values for the other.
There are various filters available in Power BI to filter the data such as
A free version is available in Power BI. To get access to all of its features, one has to purchase this from the Microsoft store.
In the case of null values and duplicate values, relationships can be defined manually and with an auto-detect feature.
Users of Power BI can be classified as
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