Redefining Data Engineering with AI
by Ashok Singamaneni, Sarath Chandra Bandaru, Phani Vemuri, Aditya Chaturvedi
Chapter 6. Building with Insight
Chapter 5 ended with you running counts on ingestion tables. The foundation has worked. The Bronze ingestion pipeline sourced the Synthea data from disk, a DQ suite ran against the data, and an Airflow DAG orchestrated the whole thing. We have called it the foundation. In this chapter, we will build the Silver layer on the laid foundation, with an insight into what the transforms should be to support the Patient 360 use case. The Bronze layer doesn’t answer the questions business users have; it is intended to serve only as the source of truth.
The data starts to mean something from the Silver layer. The data types are enforced; PHI may be masked per requirements; dimensions are slowly changing; and every row is expected to pass the data quality gate before it lands in the Silver layer. The data becomes more meaningful and useful from the Bronze layer. A clinician, a billing analyst, or a dashboard can query the data without knowing the underlying complexity of Medallion ...
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