The end-to-end modern data stack requires careful consideration of various components and their capabilities. Dell Technologies has worked closely with its software partners to develop a solution that addresses the growing analytics and machine learning challenges. These challenges are the results of architectural differences between data warehouses and data lakes. The Dell Validated Design for Analytics - Modern Data Stack addresses the needs for organizations already down the path of deploying data warehouses and data lakes today. It also addresses the needs of organizations that have not deployed yet but recognize the value that advanced analytics and machine learning can deliver to their data-driven decision-making process.
The Dell Technologies strategy combines compute and storage into a seamless solution. It gives developers, data scientists, and data engineers access to a self-service, one-click deployment of advanced analytic and AI and ML pipelines, with no need for extensive infrastructure interaction. See Modern data stack.
![An illustration of the modern data stack](/static/media/9198938f-8c47-5a0e-82d9-6db6a62cd3f7/DAM-e153c4ba-c429-4a3d-8ae5-09901bcee0f9/out/dlh_g_solution_stack_amd=GUID-C3B09046-F061-4AF6-BA12-62EF4D07858B=1=en-us=Low.png)
This solution is designed for analytics, AI, and ML deployments across a wide range of environments. The validation process assures that the solution provides flexibility for organizations to configure according to their needs.