Explanation:
Databricks Lakeflow unifies data engineering through Connect (for data ingestion), Spark Declarative Pipelines (for reliable data processing and quality), and Jobs (for orchestration). This combination enables end-to-end workflows in the Lakehouse.
Which three components constitute unified data engineering in Databricks Lakeflow?
A
Connect, Spark Declarative Pipelines, and Jobs
B
Connect, Storage, and Governance
C
Unity Catalog, Connect, and Processing Engine
D
Jobs, MLflow, and Data Warehousing
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