Home > Workload Solutions > Data Analytics > Guides > Reference Architecture—Multicloud Data Analytics with Dell Technologies Powered by Starburst > Executive summary
Multicloud data sprawl is a key challenging trend in many enterprises today. The variety and distributed nature of data sources poses new challenges to discover, access, and activate data. Data users often need to wait until data is consolidated into a central data warehouse/data lake before they can consume it for analytics, data science, or operational purposes.
Infrastructure teams are caught between the need to modernize and consolidate data platforms and business teams who need quick access to data to drive business value . Breaking down data siloes can be enabled in a systemic way to enable access to data no matter where it resides in the enterprise. Customers need an easy, efficient, and secure way to explore and publish their data assets spread across data sources (on-premises, colocation, cloud, and edge). Enterprises also need to move towards a multicloud by design strategy. Dealing with these situations requires acknowledging the distributed nature of data, workloads, and environments. It requires being proactive about choosing a data strategy that does not enforce constraints, rather embraces flexibility, and allows customers the choice of where and how they want to consume the data. Breaking down data siloes no longer requires constant migrations of data, but rather a more systemic way to enable access to data no matter where it resides in the enterprise.
Starburst, the analytics engine for data, provides a fast and efficient analytics engine for data warehouse, data lake, or data mesh. Starburst unlocks the value of distributed data by making it fast and easy to access, no matter where it lives.
Dell Technologies and Starburst together offer a Multicloud Data Analytics solution enabling customers to run their business intelligence, analytics, and data science workloads and access data spread across the enterprise using the Starburst federated query engine. The complexities of the underlying data sources and data formats are abstracted from the end user, thus greatly simplifying the consumption experience. Customers can also build data products to enable greater governance and reuse of data assets across their enterprise.
This reference architecture comprises a Dell server (PowerEdge R740xd), Starburst Enterprise Platform (SEP), and Dell object store (ECS EX500) deployed on RedHat OpenShift Kubernetes Platform.