Ed Pollack has part one of a two-parter:
This article dives into the Apache Parquet file format, how it works, and how it can be used to export and import data directly to SQL Server, even when a data platform that supports Parquet files natively is unavailable to assist.
In the second part of this article, customizations and more advanced options will be highlighted, showing the flexibility of Python as a tool to solve analytic data movement challenges.
I like how Ed covers the Parquet file format, as it’s not all that complicated but it does give you an idea of how so many operations on Parquet data can be so fast.