For details about core applications used for lakehouse architecture, see Workload design. Applications can be packaged into application bundles that include runtime orchestration and deployment information. These applications are primarily containerized and use the industry standard Open Container Initiative (OCI) image format. In lake house design, views to the surroundings are paramount. Applications and workloads Applications and workloads are the components that provide the customer specified data analytics functions. For details about both the control plane and platform runtime components, see Container platform implementation. Managed by the control plane, the platform runtime components abstract the infrastructure details, exposing them as a pool of compute, storage, and communications resources. The Robin Cloud Native Platform provides the control plane. Control plane The control plane is the set of components that provide platform administration, operations management, and application orchestration capabilities. For additional sizing and scaling guidance, see Sizing the solution. For details about the recommended infrastructure, see Dell infrastructure. Lakehouse platform architecture Dell infrastructure The infrastructure layer provides the core compute, storage, and network resources for the platform. The figure below illustrates the overall lakehouse platform architecture. It provides a scalable, flexible platform for multiple analytics workloads, and supports the use of a lakehouse architecture. Lakehouses are enabled by a new system design: implementing similar data structures and data management features to those in a data warehouse directly on top. A lakehouse is a new, open architecture that combines the best elements of data lakes and data warehouses. The architecture has been designed to support the requirements of modern data analytics. New systems are beginning to emerge that address the limitations of data lakes.

Lakehouse design