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The Allure of the Cloud for Data Lakes

Click to learn more about author Sanjay Vyas. Many organizations are considering whether it’s the right time to shift from an on-premises data lake to a cloud data lake. From scalability issues to software incompatibility and security, on-premises data lakes haven’t delivered on the promise to give organizations fast and unfettered access to all their […]

From a Single Decision Tree to a Random Forest

Click to learn more about author Rosaria Silipo. The co-author of this column was Kathrin Melcher. Decision trees are a set of very popular supervised classification algorithms. They are very popular for a few reasons: They perform quite well on classification problems, the decisional path is relatively easy to interpret, and the algorithm to build […]

Shift in Core Principles of Data Management in Today’s Digital Economy

Today’s data landscapes in enterprises are increasingly based on core principles of Data Discovery, Right Data Interpretation, Coverage, Availability and Inter-operability. Often the first step is knowing what data exists in our firms, while also interpreting it in the right way by managing the meaning. Business Intelligence often describes “Data Discovery” as finding insights from data, […]

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