When organizations talk about becoming data-driven, the debate often comes down to where should data live and how should it be structured? That’s where the Data Lake and the Data Warehouse come into play. Both are critical, but their purposes and strengths differ.
How to Load Parquet Files from Azure Data Lake to Data Warehouse
By following these steps, you’ll be able to extract, transform, and load (ETL) your Parquet data into a structured data warehouse environment, enabling better analytics and reporting.