Organizations rely on data science to support innovation, competitive advantage, and efficiency, and the data scientist role is vital to this practice. But to put data science into production at scale, you need skills and methods that go beyond the scope of the data scientist. The role of data engineer has emerged to ensure that predictive models are ready for production. Read The Scientist, the Engineer, and the Warehouse white paper to learn what it takes to put cloud analytics into practice... DOWNLOAD THE FREE E-BOOK TO LEARN MORE.
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