Driving Faster Insights with a Data Mesh
A Data Mesh approach removes the bottlenecks that come with the traditional data warehousing and data lake models, and in doing so, allows companies to drive …
A Data Mesh approach removes the bottlenecks that come with the traditional data warehousing and data lake models, and in doing so, allows companies to drive …
Building a data analytics platform that can scale across clouds is crucial to enabling any business user to answer any question at any time against any data.
In addition to better serving customers and helping integrate systems, a cloud-native application architecture lets retailers adopt new business models.
Servitization helps companies better serve customers who need proactive or predictive maintenance and helps ensure greater business resiliency.
Potential obstacles to implementing streaming analytics include outdated architectures, limited staff availability, and a lack of skills.
Many businesses use container-based microservices architectures to develop AI. The container orchestrator Kubernetes can help with management and