As corporations and governments modernize their data architecture — to close this gap between information and outcomes — they are presented with numerous choices now — using a combination of data warehouses, data lakes, and their cloud counterparts.
The evolution of data warehouses in the last decade has changed the way enterprise evaluates technology. Earlier, the evaluation criteria used to be price/performance metric. However, with the explosion of unstructured and semi-structured data, a single solution (data lake or warehouse) cannot handle the big gorilla in the room — that is data variety.
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