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Five Considerations When Optimizing the Enterprise Data Warehouse for Big Data

A Hortonworks Buyer’s Guide

Your enterprise data warehouse is the backbone of your analytics operation. But adding Apache Hadoop® and data lakes for real time and ad hoc analytics lets you accelerate your digital transformation—and do it cost effectively. As an enterprise, however, you need an enterprise solution that moves data of different ages, shapes, and sizes into a new analytical space that is secure, governable, and tied back to your traditional enterprise data warehouse.

“Five Considerations When Optimizing the Enterprise Data Warehouse for Big Data,” identifies potential pitfalls when selecting an open source Hadoop solution and provides solid guidance that enables you to move quickly but surely to capture the business value in big data.

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