This article, part of a series focused on Healthcare analytics, discusses how Databricks can be used to effectively manage interoperability in healthcare systems. By leveraging standardized protocols, such as FHIR and OMOP, Databricks offers complex analytics, data processing, and real-time decision making. It also presents a toolkit developed to solve FHIR-specific challenges. The article includes a demo showing how to ingest and parse FHIR bundles, and transform them into standardized tables ready for analysis.
Lakehouse Federation – Data Virtualisation for the Databricks Age
I’ve always been a fan of data virtualisation. I know it’s not the silver bullet for every kind of data integration scenarios (I still love
Change of role!
It’s been a couple of months since my last post and that’s largely down to the fact that I’ve done something I never imagined doing
Data Quality ELT With Azure Data Factory
Been a while since my last post – got a few in the backlog now though so will have a trickle of articles coming through
Building the Lakehouse Architecture With Azure Synapse Analytics
We’re all largely familiar with the common modern data warehouse pattern in the cloud, which essentially delivers a platform comprising a data lake (based on
Detecting And Anonymizing PII Data With Azure Synapse Analytics
This isn’t a deep technical post, but more of an attempt to increase awareness of a utility created by Microsoft’s Commercial Software Engineering (CSE) team