The modern data lake, also known as a data lakehouse, has gained popularity due to its ability to decouple storage and compute resources, making it cost-effective and scalable. Open table formats like Apache Iceberg, Delta Lake, and Apache Hudi provide ACID transactions, efficient CRUD operations, schema evolution, partitioning, indexing, versioning, and metadata management. This separation of architecture enables universal storage, allowing end users to access data using their preferred tools without vendor lock-in. Decoupling storage from compute also enables easier distribution of data, reduced costs on ingestion, and improved governance through technical catalogs that track data locations and control access. The use of open table formats brings significant benefits, including the ability to read and write data without vendor-specific services, manage object stores however desired, and distribute data as needed. Additionally, modern data lakes are interoperable with other systems, supporting a wide range of tools for accessing and querying data. Fivetran's Managed Data Lake Service abstracts away complexity, providing near real-time data ingestion, cost-effectiveness, and full management capabilities.