How to read Parquet files
The Apache Parquet format is widely used in Big Data due to its column-wise storage and efficient compression. It allows you to quickly read the data you want from a specific column instead of reading a full row and saves time. However, not every application system can read binary Parquet files. It is often necessary to convert Parquet files to CSV or TXT format before opening them, for example, in MS Excel or Power BI, which are often used in the work of a DS specialist. In this case, the Python pandas library will help with the built-in read_parquet() function for reading data from a Parquet file into a dataframe. The dataframe can then be saved to a CSV file using the to_csv() method and opened in almost any office spreadsheet editor.
https://medium.com/@i.m.mak/workaround-for-reading-parquet-files-in-power-bi-e2d060abcb80