Organizations must find ways to fully use their data in today’s data-driven environment while assuring scalability, security, and agility. The modern data stack architecture described in this white paper combines Dell infrastructure, Red Hat OpenShift Container Platform, Starburst query engine, and open-source technologies like Delta Lake and Apache Iceberg. This architecture enables data management transformation and gives businesses access to unmatched data capabilities.
The expansion of data sources and formats has led to complex data ecosystems, making it challenging to extract insights to make informed business decisions effectively. Traditional data warehouses were optimized for BI and decision support but with only well-defined and structured data. Furthermore, data warehouses require the data to be curated using the extract-transform-load (ETL) process, which can be time-consuming, before users can draw insights from it.
Dell’s end-to-end validated design 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 - Modern Data Stack includes Red Hat OpenShift Container Platform – the cloud platform layer for the modern data stack. It also includes Starburst Enterprise – a fully supported, enterprise-grade query engine; Apache Spark; and open table format technologies such as Delta Lake and Apache Iceberg.
This modern data stack addresses a new generation of analytics challenges that arise from extracting actionable data from massive datasets. It delivers a unified repository, eliminating data silos and simplifying access while providing data quality, security, and governance, ensuring compliance. It puts data scientists and data engineers in real-time control of the design and the deployment of workloads.