6 posts about Databricks SQL by 3 contributors.
Know Databricks SQL? Share what you know with developers who are learning it.
Create a Databricks SQL materialized view that refreshes daily, documents its columns, and calculates reporting metrics in a single statement.
Learn how to define, reference, and override Databricks Lakeflow Pipeline parameters to reuse SQL pipelines across environments, sources, and date ranges.
Discover how Excel’s DATABRICKS.SQL and DATABRICKS.TABLE functions connect spreadsheets directly to Databricks, enabling live SQL queries, enterprise data analysis, and real-time insights.
Master Databricks SQL query optimization with EXPLAIN FORMATTED. Uncover Spark's execution plans, identify bottlenecks, and tune performance.
Databricks Unity Catalog provides a unified governance layer with a three-level namespace (Catalog, Schema, Table) for efficient data organization, access control, and sharing across workspaces, improving security and collaboration.
In Databricks SQL, nested data structures like arrays and structs allow you to elegantly manage and query complex, hierarchical data with ease, transforming intricate datasets into insightful, actionable information. In this video, I demonstrated how to create, insert, and query nested data structures seamlessly without Pyspark!
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