Databricks
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Delivering Interoperability For Analytics in Healthcare with Databricks (Part 1 – Ingestion & Analysis)
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…
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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 my ETL/ELT), but for those…
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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 – I’ve left Microsoft! There’s…
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Change Data Capture Upsert Patterns With Azure Synapse Analytics and Databricks
Change Data Capture (Referred to as CDC for the rest of this article) is a common pattern used to capture change events from source databases and push them to a…
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Building The Data Warehouse-less Data Warehouse (Part 2 of 2)
Part 1 of this series can be found here. In my previous post I discussed and explored the feasibility of building a simplified reporting platform in Microsoft Azure that did…
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Building The Data Warehouse-less Data Warehouse (Part 1 of 2)
*Update – part 2 of this series is now live, and can be found here* In times of yore, those who maketh the houses of data would bring forth vast…
