I caught up with Steve Pao at Igneous recently to chat again about the rise of secondary storage. Primary storage is great and all, but flash is everywhere – it’s old news. In secondary storage, we are seeing a lot happening with scale and functionality and hybridization and built-in data protection services.
Ok, this is a softball question for anyone inside the big data space. However, it does come up as a real question when talking to business owners and application users. This is a quick high-level description of NoSQL/NewSQL, why it’s different than SQL RDBMS, and where I think both of those markets are going.
Lots of storage solutions can claim to provide adequate container storage when there are 10’s or 100’s of containers, but what are you going to do when you really need to push the “go” button on your next gen apps, and spin up 100k’s+ containers across a hybrid cloud architecture?
MapR just introduced a very compelling container solution, of course leveraging the highly scalable and production-proven MapR platform. The big data storage layer in Mapr is already able to handle trillions of objects/files/tables/streams (hey it’s big data AND POSIX compliant AND…) in a highly scalable (and enteprise-y) manner.
In this short video bit just released on Truth In IT (with transcript), I interview Jack Norris from MapR about the new MapR for Kubernetes solution, announced yesterday.
Occasionally James Maguire over at Datamation invites me onto one of his hot topic panel sessions. There are usually a couple of vendors who really know what they are talking about and, of course, James who always does a great job slinging questions around. I always think that I might be getting invited because they need some comic relief — but then I’m not *that* funny.
Anyway, data management can be a pretty dry topic, but this video provides an easily watchable (and relatively juicy) overview. You will hear how today’s modern data management solutions aim to both establish rock-solid governance over ever-larger amounts of on-line data AND ensure that organizations can squeeze maximum value out of that spreading data pile.
It’s worth watching just in case someone drops the phrase “macro versus micro-infonomics” at your next geeky get-together…
James Maguire, Datamation
Stephanie McReynolds, Alation
Danny Sandwell, Erwin
and me, Mike Matchett, Small World Big Data
First – Does flash storage really impact a business’s predictive analytics applications?
Then – How exactly?