The Modern Data Stack is quickly picking up steam in tech circles as the go-to cloud data architecture, and although its popularity has been quickly rising, it can be ambiguously defined at times. In this blog post we’ll discuss what it is, how it came to be, and where we see it going in the future. Regardless of whether you’re new to the modern data stack or have been an early adopter, there should be something of interest for everyone.
The mission statement is so direct and uncomplicated. SU Queensland, a non-profit organization based in Australia, is all about “bringing hope to a young generation.” The realities of delivering on this charter, of course, are multi-dimensional and complex. SU Queensland provides a wide range of services to schools, churches, and community groups across Australia, including youth camps, school chaplains, community engagement programs, and training and support for youth workers.
It’s no secret that global mobility ecosystems are changing rapidly. Like so many other industries, automakers are experiencing massive technology-driven shifts. The automobile itself drove radical societal changes in the 20th century, and current technological shifts are again quickly restructuring the way we think about transportation. The rapid progress in AI/ML has propelled the emergence of new mobility application scenarios that were unthinkable just a few years ago.
A proverb from the Democratic Republic of the Congo says, “A good chief is like a forest: Everyone can go there and get something.” And, a Chief Data Officer is no exception. According to Forrester Research published in January 2021, data leaders today face a broad mandate as the role has expanded over the years. In the early years, CDOs mostly reported to technology leaders.
After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. CDP Data Engineering offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual profiling, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic teams.
