![]() ![]() They provided a low-cost and scalable option for analytics using various data types and formats. Further, they required data cleaning and transformation to accommodate such data types - this was time-consuming and expensive.ĭata lakes emerged in early 2010 as a solution to address the limitations of data warehouses. Yet, data warehouses couldn't support rapidly evolving unstructured and semi-structured data like pictures, videos or audio recordings. They were primarily designed to support data analytics and BI with efficient querying capabilities. ![]()
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