Merck drives innovation with a “real-world data exchange”
summary
Merck builds an API-first enterprise platform called RWDEx on AWS using Amazon Redshift plus the Deloitte ConvergeHEALTH Miner suite and a metadata-driven ingestion pipeline (S3, Lambda, PySpark on EMR, Glue) to standardize large real‑world datasets. The deployment runs on a 20‑node Redshift cluster storing ~40 TB and growing 4–6 TB/month, ships nine releases in a year, serves 400+ users, and turns a months‑long time‑on‑treatment analysis into weeks while enforcing lineage, governance and reproducible audit trails.
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chapters (19)
- 0:00Introduction
- 4:20Why do you need a realworld data exchange
- 6:30Goals of the initial releases
- 10:30Expanding on internal capabilities
- 12:00Designing a platform ecosystem
- 14:05Data ingestion
- 20:35Componentized architecture
- 26:40Value delivered
- 33:35Value IT drives
- 35:37State exchange
- 38:24Solutions layer
- 41:53Topdown bottomup approaches
- 43:03Collaboration
- 44:48Metadata
- 46:02Data exchange
- 47:32Internal vs external needs
- 50:57Internal resistance
- 53:34Measuring success
- 55:54Analytics
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