Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
I have lot of tables with 80% of columns being filled with nulls. I understand SQL sever provides a way to handle these kind of data during the data definition of the tables (with Sparse keyword). Do datalake provide similar kind of thing?
Unless you compress the entire CSV, which also should be a viable approach.
That said, Delta/Parquet would normally be the better option where each column in compressed.
Connect with Databricks Users in Your Area
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you won’t want to miss the chance to attend and share knowledge.
If there isn’t a group near you, start one and help create a community that brings people together.
