Data continues to grow in volume and is increasingly distributed across lakes, warehouses, clouds, and file formats. As more users demand more use cases, the traditional approach to build data movement infrastructure is proving difficult to scale. Unlocking the full potential of data requires breaking down these silos, and is

‍Apache Hudi is a popular open source lakehouse technology that is rapidly growing in the big data community. If you have built data lakes and data engineering platforms on AWS you have likely already heard of or used Apache Hudi since AWS natively integrates and supports Apache Hudi as a

Databricks is open sourcing Delta Lake to counter criticism from rivals and take on Apache Iceberg as well as data warehouse products from Snowflake, Starburst, Dremio, Google Cloud, AWS, Oracle and HPE Databricks open sources its Delta Lake data lakehouseDatabricks is open sourcing Delta Lake to counter criticism from rivals

Data Analytics and Data Virtualization with Azure Databricks and Microsoft SQL ServerA modern data analytics architecture centered on the Databricks platform implements what is known as a Data Lakehouse architecture. It integrates the traditional Data Lake architecture with some functionality that previously was only available to Data Warehouse platforms, such

How to Use Databricks & Anomalo to Detect Stale, Missing, Corrupted and Anomalous DataLearn more about the combined Databricks-Anomalo data quality monitoring solution and how it democratizes data quality and ensures the health of your lakehouse data.DatabricksAmy Reams