spark-declarative-pipelines

To build Spark Declarative Pipelines on Databricks serverless compute, initialize a new project using Databricks pipelines init, add transformation files under src/transformations, and deploy the bundle using YAML and the DP API.

Implementing CDC and SCD Type 2 in Databricks SDP pipelines involves using the modern Spark Declarative API with SQL to support streaming tables, materialized views, AUTO CDC, and history tracking across your medallion architecture.

Yes, you can migrate Delta Live Tables pipelines to Spark Declarative Pipelines by leveraging multi-environment asset bundles and applying SDP best practices for language-detection and bundle-init workflows.

Yes, Databricks serverless compute supports Auto Loader ingestion patterns for SDP pipelines, enabling rapid and scalable streaming data ingestion into bronze and silver medallion architecture layers.

You manage multi-environment workflows for Databricks SDP pipelines by using asset bundles configured with YAML and the DP API to satisfy deployment best practices across development and production environments.