4
Building an End-to-End Analytics System – Data Warehouse
While the world of data and analytics makes a shift to the lake-centric approach introduced in the previous chapter, there are still many scenarios that are well served by a traditional data warehouse. Teams of developers often have deep, longstanding SQL skills that can be easily applied to the development of a data warehouse. Other times, an enterprise data lake or lakehouse could feed data into downstream data warehouses that are purpose-built by various business units (BUs) or departments that serve as the gold layer in a medallion architecture. In some smaller organizations, there just isn’t the need for the added complexity of a lakehouse when data is being centralized from all ...
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