Until recently, enterprises wanting to derive operational value from data stored in cloud data lakes still had to move the data into cumbersome, expensive data warehouses and data marts, then layer on time-consuming cubes, extracts and aggregations. That’s because existing query engines lack the query acceleration and semantic layer needed to make business intelligence (BI) work directly on cloud data lake storage. But now you can enjoy all of the benefits cloud data lake storage has to offer by empowering your cloud data lake to support the majority of your analytics workloads.
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