According to information technology research and advisory company Gartner, there is a market shift towards hybrid approaches to data management, as companies look to solve complex challenges with a mix of alternative and traditional deployments.
Healthcare providers and health plans are asking the question, “Do we need an enterprise data warehouse, a data lake, or both as part of our overall data architecture?” This question is top of mind with healthcare executives who are challenged to improve medical outcomes for patients, drive patient and member engagement, and bend the cost curve. In order to do so, these organizations are dependent upon the ability to rapidly ingest and analyze large volumes of data in batch or real-time from an extensive range of sources in a variety of formats.
In our new guide, The Role of Data Lakes in Healthcare, we take s a deeper dive into the role data lakes play in healthcare and:
- Explore the data lake concept and how it differs from a more conventional enterprise data warehouse approach
- Discuss how a data lake typically co-exists with an enterprise data warehouse to enable advanced analytics that are difficult to attain with a traditional enterprise data warehouse architecture
- Present use cases that are best served by a data lake environment, and the typical starting points for a data lake effort and associated architecture
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