Digital transformation has moved businesses from a mode of retrieving and organizing critical information in conventional data stores to a new goal: capturing and storing every bit that passes through the business. The number and diversity of data sources are constantly expanding. New horizons are recognized in data as a raw resource with potential for value creation, even if specific points of value cannot yet be discerned.
The data lake was created to enable this new raw resource retention. The data lake excels at collecting the greatest amount and widest diversity of information. This data can range from the highly structured like market data, financial records, or transactions to massive or unstructured data such as application logs, sensor feeds, or rich media.
The length of development cycles and the increasing number of applications required by organizations can both interfere with responsive, real-time exploitation of the growing data lake. Incredible insights that can help an organization quickly uncover opportunities and drive efficiencies are there in the data lake—but most remains locked away by either time or process constraints.
Enter the data lakehouse, which combines the best of a data warehouse and a data lake. It sifts through structured, semistructured, and unstructured data to feed responsive and real-time including business intelligence, analytics, marketing, AI, and machine learning applications. Productive, reliable data lakehouse implementations depend on the continuing evolution of the data center. It is one of the many pressures that promote well-tuned, modernized data-center infrastructure, with resources orchestrated by a modern, containerized application architecture.
Dell Technologies is well positioned to bring all necessary products, components, technology ecosystems, and services together to deliver the modern data center and benefits of a data lakehouse. Organizations can unleash the combined power of all their data, freeing data scientists and data engineers to create value rapidly and reliably from massive and diverse raw data resources.
Dell’s end-to-end validated design is a complete solution that brings together the platforms (servers, storage, networking, and software), services, OPEX pricing options, and on-demand and self-service capabilities. The Dell Validated Design for Analytics - Data Lakehouse is a collaboration with Robin.io and includes Delta Lake technologies. It is an engineered, tested, and supported solution for addressing a new generation of analytics challenges that arise from extracting actionable data from massive data stores. It puts data scientists and data engineers in real-time control of the design and deployment of workloads while keeping IT in control of security and governance.
