A manufacturing team is building a data lake to power advanced analytics and modeling. They're deciding how often to capture data, from every 6 seconds to every minute, and whether to move storage to the cloud to handle the scale.
we're kind of making decisions on how much data we're keeping, right? And if we want to keep a piece of data every 6 seconds or every 1 second or just every minute. So, I am, I'm relying on my IT team to say, okay, you want to do this, then we need to do this from a data architecture and whether or not to go in the cloud, you know, all those types of decisions. But I think that, I think we're tracking towards starting to keep some information in the cloud because we, we're on the cusp of creating the data lake that's needed and the, the types of analytics like getting into modeling and things like this and considering really, really large sets of data in order to power these models. We're gonna, we're gonna have to go there sooner rather than later.
