A data team at a financial services firm builds a reporting layer in Databricks SQL using a materialized view that aggregates daily transaction totals from an upstream transactions Delta table. The upstream table receives hundreds of thousands of new rows per day via an ETL pipeline. Business users report that the materialized view sometimes shows data that is 1-2 days stale. What is the most likely cause of the staleness?

In Databricks SQL, what is the key difference between a standard view and a materialized view?...

An analyst is designing a data model in Databricks SQL and wants to create a reusable query layer th...

A data analyst is building a reporting layer in Databricks SQL. The business requires a table that a...

What is a streaming table in Databricks SQL, and what is it primarily used for?...

An analyst needs to create a data layer in Databricks SQL that defines a reusable, named metric — fo...