ElevationData Blog


Data-Driven Personalized Medicine: ElevationData Case Study

Process

ElevationData built and deployed a coherent data architecture to data across sources to be harvested by machine learning models. It enabled an advanced personalized healthcare platform to provide tailored advice to people suffering from chronic disease. Assuring the flow of data to models ensures every single patient always gets the best data to better manage her disease.

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The Data Science Myth is not about Data Scientists

Process

Should your data scientist build and run the data platform? In a small startup with less than a dozen people, it might be a good place to start. But is it sustainable? Just as science and engineering are unique, complementary domains, data science needs data engineering to succeed. A good look at the division of labor helps explains why.

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The Data Engineering Checklist for Data Science

Process

What comes after Big Data? Bigger data. Demands on data scientists are growing even faster. They need to the resources and tools to make ever more effective use...

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