Part 2 in a series of posts about Data Protection as a Service… (Also posted on Cobalt Iron’s blog)
Mike Matchett, Small World Big Data
In IT there are well-known (and never 100% avoidable) risks that justify rock solid …
…(Also posted on Cobalt Iron’s blog)
Are you actually protecting all your important data today? Not “almost,” “just about”, or “we have plans,” but all of it?
And I don’t mean just your most mission-critical data sets, but any …
Having just been to VMWorld 2017 and getting pre-briefs for Strata Data NY coming up soon, I’ve noticed a few hot trends aiming to help foster cross-cloud, multi-cloud, hybrid operations. Among these are
I just spent a couple of weeks in Boston at Red Hat Summit and OpenStack Summit. Containers are clearly the big thing this year – Kubernetes, Openshift, etc. And increasingly, IT is learning how to take advantage of remote Management …
I’ve been playing again with Neo4j now that v3 is out. And hacking through some ruby scripts to load some interesting data I have laying around (e.g. the database for this website which I’m mainly modeling as “(posts)<-(tags); (posts:articles)<-(publisher)”).
For …
Time-series data analysis can be approached in two ways. Traditionally time-series data is aggregated into partitioned historical data bases, and then reported on at scheduled intervals. Commonly, reports delivered today cover data collected yesterday. A modern (and perhaps most relevant …
