25.10.20
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Data Engineering with Databricks V2

Rakesh Kumar Gouda

Leverage the Databricks Lakehouse Platform to perform core responsibilities for data pipeline development Use SQL and Python to write production data pipelines to extract, transform, and load data into tables and views in the Lakehouse Simplify data ingestion and incremental change propagation using Databricks-native features and syntax, including Delta Live Tables Orchestrate production pipelines to deliver fresh results for ad-hoc analytics and dashboarding

Issued on

November 1, 2022

Expires on

Does not expire