The Apache Spark™ 4.0 introduces a new feature for SQL developers and data engineers: SQL Scripting. As such, this feature enhances the power and extends the flexibility of Spark SQL, enabling users to write procedural code within SQL queries, with t...
Enforce schema consistency using declarative contracts on Databricks Lakehouse.Industrial AI is transforming how operations are optimized, from forecasting equipment failure to streamlining supply chains. But even the most advanced models are only as...
Databricks is a popular unified data analytics platform known for its powerful data processing capabilities and seamless integration with Apache Spark. However, managing and optimizing costs in Databricks can be challenging, especially when it comes ...
How can this actually be used to choose a cluster pool for a Databricks workflow dynamically, that is, at run time? In other words, what can you actually do with the value of `selected_pool` other than printing it out?
Question:I have a role called dev-dataengineer with the following privileges on the catalog dap_catalog_dev:APPLY TAGCREATE FUNCTIONCREATE MATERIALIZED VIEWCREATE TABLECREATE VOLUMEEXECUTEREAD VOLUMEREFRESHSELECTUSE SCHEMAWRITE VOLUMEDespite this, u...
Managing assets in UC is always a overhead maintenance. We have this access controls in terraform codes and it is always hard to see what level of access is given to different personas in the org. We are building an audit dashboard for it.
