Use pipelines in Databricks SQL
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Lakeflow Spark Declarative Pipelines is the native way of working with data in pipelines. You can define streaming tables and materialized views with simple query syntax, and Databricks manages the pipelines for you. Pipeline functionality is also available for use outside of ETL pipelines using Databricks SQL.
This section teaches you about using pipelines outside of Lakeflow Spark Declarative Pipelines, including the following topics.
Topic | Description |
|---|---|
Learn how to create, refresh, configure, and monitor Databricks streaming tables in Databricks SQL. | |
Learn how to create, refresh, and query Databricks materialized views in Databricks SQL. |