The mountain of data pouring in from websites, smart devices, social networks and other sources keeps growing, but for most companies, it’s still very challenging to store, process and glean insights from that data. Even Hadoop, the open source data platform that has given rise to ‘data lakes’ due to its affordability of storing and processing genuinely big data sets, has its problems.

As Hadoop continues its advance into the enterprise and powers an increasing amount of the storage and processing capabilities of many large businesses, companies must take an even closer look at the strategies that can deliver on the Hadoop promise. While Forrester predicts enterprise adoption of Hadoop is now mandatory, meaningful success with Hadoop is less about which distribution you are using and more about what’s on top of it. High-value, high-performance Hadoop is contingent on the tools that sit on top of the new data stack, and make Hadoop more enterprise-grade.

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