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Data warehouses have proven to be great repositories for enormous amounts of critical information, but the process of preloading data into the necessary structure to run business analytics workloads can take weeks. One startup company has found a way to change that model by delivering sub-second query response times using cloud data lakes instead.
Dremio Inc. is a next-generation data lake engine designed to deliver self-service access and super-fast queries directly on Amazon Web Services Inc., Microsoft Azure or private cloud data lake storage. By using in-memory caching architected into the S3 format, Dremio can dramatically accelerate data access and bypass the time-consuming extract/transform/load or ETL process common to data warehouses.