When you’re racing around a circuit at over 200mph, there isn’t much room for error. There's a team of thousands backing you, millions of dollars on the line and a grid of other teams vying for the podium. In motorsport, every millisecond counts – and that’s where data can make the difference. This is what I spoke to Joe DosSantos about in the latest episode of Data Brilliant.
Cross-cloud analytics are critical to breaking down data silos. Moving data with usability, security, low-latency, and audibility makes it a reality.
Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. For analytic applications to properly leverage a hybrid, multi-cloud ecosystem to support modern data architectures, data observability has become even more important. I spoke to Mark Ramsey of Ramsey International (RI) to dive deeper into that last subject.
Learn how Fivetran solution architects are supporting customers with implementing robust and scalable data platforms.
Use new BigQuery geospatial functions ST_IsClosed and ST_IsRing
Zeotap is a next-generation Customer Data Platform hosted in Google Cloud aimed at building customized Audience segments and activating at scale.
ClearML is an open source MLOps platform, and we love the community that’s been growing around us over the last few years. In this post, we’ll give you an overview of the structure of the ClearML codebase so you know what to do when you want to contribute to our community. Prefer to watch the video? Click below: First things first. Let’s take a look at our GitHub page and corresponding repositories. Later on, we’ll cover the most important ones in detail.
