A decade ago, Ion Stoica and his colleagues at UC Berkeley's school of computing identified the roadblock to performing advanced analytics. The challenge at the time was what we then called Big Data.

Hyperscale combines strong write performance, flexible storage and fast replica creation for databases of nearly any size.

Microsoft’s Scott Guthrie, executive vice president of its Cloud and AI Group, speaks at Microsoft Build 2019. (GeekWire Photo / Kevin Lisota) Cloud customers are getting used to the idea of paying ...

At a Spark Summit 2017 conference this week, Databricks announced that it will be making an instance of the Apache Spark in-memory computing framework available as a managed cloud service running on ...

The importance of databases to modern enterprise AI operations cannot be overstated. Data helps to train and ground AI, and multiple research reports show that without proper data, AI efforts tend to ...

Microsoft provides all the needed tools for building serverless applications as well as Continuous Deployment tooling. Currently, there is support both in Azure DevOps and GitHub Actions. Besides ...

Microsoft’s Azure cloud service has had a rocky journey to where it is today. Its initial focus on delivering PaaS was clearly too early for the rest of the industry, and it was only a pivot to ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Microsoft’s Event Grid is an important addition to Microsoft’s serverless options, providing the back end needed to build distributed applications that can work at scale, with minimal management and ...