dominikhei/Local-Data-LakeHouse

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Introduction Data Warehouses have been state of the art for analytic workloads since the 1980's with the emergence of Ralph Kimball's dimensional modeling. These were built to aggreagte structured data from different sources and run analytic queries on them to generate insights. Up until the emergence of cloud dwh's like Aws Redshift most data warehouses had stoarge and compute tightly coupled together. This made scaling inflexible since you could not independently scale storage from compute and...