The architecture has been designed to support the requirements of modern data analytics. It provides a scalable, flexible platform for multiple analytics workloads, and supports the use of a modern data stack architecture. The figure below illustrates the overall modern data stack platform architecture.
- Dell infrastructure
- The infrastructure layer provides the core compute, storage, and network resources for the platform. For details about the recommended infrastructure, see Dell infrastructure. For additional sizing and scaling guidance, see Sizing the solution.
- Red Hat OpenShift Container Platform
- The OpenShift cloud-native platform, which is based on Kubernetes, is designed to enable developers to build, deploy, and manage applications across multiple environments consistently and securely. It provides developers with tools for building, deploying, and managing containers. Some of the key benefits of OpenShift include simplified application development, consistent deployment, management, security and compliance, and scalability and performance.
- Applications and workloads
- Applications and workloads are the components that provide the customer specified data analytics functions. For details about core applications used for modern data stack architecture, see Workload design. Design guides for other solutions running on this platform can be found on the Dell Info Hub for Data Analytics.