[rhutvik14]

When cleaning and transforming complex nested JSON files in Power BI, it's simply a process of loading the JSON file(s), using Power Query to flatten the data and transform the data (too much in one step) so that you can analyze the data. Think of nested JSON structures as a hierarchy from the root record down to the lowest children record on the nested branches. Loading the nested JSON file will result in records which will appear in a hierarchical manner and require manual expansion to get to the desired useful information. Once the nested records and lists are visible, highlight all the hierarchical columns with nested records and lists so that you can drill down into the structure of the JSON data. You can complete the manual expansion process until you get to the appropriate levels of the desired hierarchy.


Being aware that students taking Power Bi Classes in Pune often work with real life JSON structures in projects really puts things into context for them and the real challenges with data transformation using Power BI along with potential solutions. Advanced techniques for managing complex nested data layers such as recursive expansion and column transformations will level their working understanding with the software.


If we assume now the data is 'clean', the next stage is to ensure a clean data model. You will want to rename any column that you can so it is meaningful, you will likely want to filter out any rows of data that you are not going to use at all, you will be able to change their data types. Overall, the Power Query has a number of tools on its interface, (such as “Replace Values,” “Split Columns” and “Merge Columns”) that all help to refine the dataset.

Taking a Power Bi Course in Pune offers students valuable time and insight into M language scripting, especially with handling edge cases and transforming JSON files.

Most importantly, by going through the Power Bi Training in Pune, professionals gain definitive skills for connecting API outputs in JSON format and schedule refresh cycles, and optimize the transformed data data models for reporting. All of which are basic skills for a professional to develop proven scalable data-driven solutions with Power BI.