Lakehouse is based on open direct-access data formats, such as Apache Parquet. It has first-class support for machine learning and data science. A Delta table is a view of data that is contained in a Delta Lake, which supports most options provided by Apache Spark DataFrame read and write APIs. Lakehouses can help with major challenges with data warehouses, like data staleness, reliability, total cost of ownership, and data lock-in. On Delta tables, optimizations like auto compaction and adaptive query plans are available. For a detailed guide to Delta Lake, please visit Delta Lake Guide.