5/22/2023 0 Comments Visual thinking the hidden gifts![]() ![]() They also aren't good for ML or AI analyses.Ī #datalake is low-cost, highly scalable, and easily adaptable for ML workflows, but doesn't offer performance that's sufficient for reporting/BI. Data Lakehouses are performant enough for reporting and BI, but also flexible enough for machine learning and advanced analytics.įirst-generation #datawarehouses were good for BI/reporting, but were expensive and difficult to scale because they coupled compute and storage. A #lakehouse is a modern way for an enterprise to manage its data.ĭata Lakehouses store data in an open Lakehouse storage system that can be queried by any open-source or proprietary engine. Enterprises have shifted from data warehouses => data lakes + data warehouses => data lakehouses over the last decade or so. ![]()
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