I created a small guide with the most important topics on a Data Lake and Lakehouse containing the following chapters.

- What is a Data Lake & Why do you need one? - Differences between Lakehouse & Warehouse - Components of Data Lake - Storage Layer (AWS S3, Azure Blob Storage, Google Cloud Storage) - File Format (Apache Parquet, Avro, ORC) - Table Format (Delta Lake, Apache Hudi, and Iceberg) - Trends in the Market - How to turn it into a Lakehouse

I hope that's interesting to one or the other. Curious to hear your thoughts and opinions. What's your Data Lake Table Format of choice, and why?