make a flat file database with json javascript

If you click on any record, you will see the details of one person, as shown below. Once the above JSON file is imported, you should see a list with 100 records, as shown in the following screenshot. With Power BI, these properties will be converted into columns. You can see that each person has four properties, i.e., “Person_Id”, “Person_Name”, “Person_Age”, and “Person_Gender”. The first five records in our JSON file look like this:

The JSON file that we are going to import contains 100 fictional records of different persons. Locate the JSON file that contains your dataset and import it into the Power BI desktop. From the list of data sources, select “JSON” as shown in the following screenshot. To import JSON files, go to the Power BI dashboard and click the “Get Data” tab from the top menu. With Power BI, you can export data from JSON files to create different types of visualization. JSON stands for JavaScript Object Notation and is one of the most commonly used formats for data exchange between different platforms and applications. In the second section, we will import data from a remote location via REST API calls and explore it with the help of Power BI visualizations. In the first section of the article, we will analyze data imported via a local JSON file. Data can also be retrieved from online sources via Power BI Rest API calls. To create a visualization in Power BI, you need a data source that can be in the form of a flat-file such as CSV, TSV, or a database like MS SQL Server. With Power BI, you can create interactive data visualizations without writing a single line of code. Power BI is a Microsoft application for data analytics and visualization.

In this article, you will see how to import data from JSON files and Power BI Rest API into the Power BI environment.

Make a flat file database with json javascript