This comprehensive guide explains the concept of a data lakehouse, a hybrid model combining data lakes and data warehouses. The data lakehouse is a semantic layer that enables operational reporting, ad hoc queries, and other workloads on top of a data lake, which stores data in an object storage service. Unlike traditional data warehouses, the data lakehouse offers more agility and cost efficiency, supporting a broader range of use cases, including machine learning and data science. However, it faces challenges in enforcing consistency and managing concurrent operations, which are critical for replacing data warehouses.

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