Healthcare organizations generate and store vast amounts of data but they often have to choose between speed and structure. Data “lakehouses” may be the answer.
The idea behind data lakehouses is to combine the strengths of data warehouses and data lakes while trying to minimize their downsides. That means leveraging the speed and lower cost of the data lake approach but also applying tier-based governance and technology in order to provide structure and usability.
Arcadia’s Chief Product and Technology Officer, Nick Stepro, says making cloud computing cost effective requires thinking not just about where an organization stores its data, but also how it stores the data. That is why some healthcare organizations are turning to a new approach to managing data, which Stepro discussed with Managed Healthcare Executive.