Ingestion, Transformation, and Visualization

Learn about three key steps in the data engineering life cycle: ingestion, transformation, and visualization.

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The data engineering life cycle contains three important stages: ingestion, transformation, and visualization. Their execution order is not strictly mandated, and each stage can be executed independently.

Ingestion

Data ingestion is the process of importing data from one or more source systems into the storage layer. The following code from the Google Analytics example creates a BigQuery job to create a table from the raw CSV file:

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