3 Steps for Making High-Performance BI Work Directly with Cloud Data Lake Storage

No longer do you have to move data from cloud data lake storage into proprietary data warehouses—or create cubes, aggregation tables or BI extracts—in order to perform BI or data science analytics upon it.

Now there’s a way to eliminate that data pipeline complexity, and enable both BI users and data scientists to easily search, curate, accelerate and share datasets on their own.

By doing so, you can empower any data consumer in your company to self-serve accurate answers to their most pressing business questions directly from data residing in cloud data lake storage.

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