Data Lake / Lakehouse Guide: Powered by Data Lake Table Formats (Delta Lake, Iceberg, Hudi)

This article discusses the concept of a Data Lake, its importance and how it differs from a Data Warehouse or a Data Lakehouse. It explains that a data lake is a storage system for vast amounts of unstructured and semi-structured data, stored as-is without a specific purpose. The primary components of a data lake include the storage layer, the data lake file format, and the data lake table formats. The article also delves into the differences between these three components and how they can be used to build an open-source Data Lakehouse. It further discusses the market trends in 2022 related to data lakes and provides a step-by-step guide on how to turn a data lake into a data lakehouse. The article also mentions some alternatives or situations where using a data lake might not be suitable.

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