DP-700 - Ingest and Transform Data - Section 2.7
Ingest data using pipelines and transform it using PySpark, SQL, and KQL, including denormalising, grouping, and aggregating.
Ingest data with Copy activity in a Data Factory pipeline, then transform it using PySpark DataFrame operations, T-SQL, or KQL. Apply denormalisation, group by, and aggregation techniques to shape raw data into analytics-ready structures within a Lakehouse or Warehouse.
Copy activity in a Data Factory pipelinePySpark DataFrame transformationsT-SQL and KQL transformationsdenormalisation for analyticsgroup by and aggregation
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