Partitioning is a database design technique when data is split across multiple tables or databases but is logically still one table. This technique is proper when dealing with large tables, as it can ...

Unity Catalog is now the most complete catalog for Apache Iceberg™ and Delta Lake, enabling open interoperability with governance across compute engines, and adds unified semantics and a rich ...

Apache Iceberg's table format is ideal for large data lakes and integrates easily with Spark, Flink, Hive, Presto, and more. Utilize Apache Iceberg to efficiently manage large data lakes at Netflix.

The dbldatagen Databricks Labs project is a Python library for generating synthetic data within the Databricks environment using Spark. The generated data may be used for testing, benchmarking, demos, ...

The creation of India and Pakistan in 1947 led to horrific sectarian violence and made millions refugees overnight. Seventy years on, five survivors remember Share your stories of partition In the ...