In the first blog of the Universal Data Distribution blog series, we discussed the emerging need within enterprise organizations to take control of their data flows. From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way.

When it comes to hybrid cloud and digital transformation, it’s all about application services and leveraging appropriate on-premise, service provider, and hyperscaler cloud resources and services seamlessly and efficiently.

Making insights for your business isn’t easy. You're expected to always do more, do it faster, all without costing a small fortune. But how can you expect to do this when you’re using the wrong kind of analytics in the first place? Let’s explore. You may have heard of the 4 different types of analytics (the image below from Gartner helps visualize each type and how we use them) Think about how many post-mortem meetings you’ve had. Hindsight is important, of course!

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.