Your Place For the Latest News in Enterprise IT
Podcast: Play in new window | Download (Duration: 29:23 — 13.5MB)
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An episode so nice, we share it twice. Throwing in a bonus episode to the feed. Had a great conversation with Karen Lopez for IT Origins. If you haven’t already, be sure to listen to her appearance on the podcast with What is Big Data?
In this iteration of Gestalt Server News:
– The On-Premise IT Roundtable discusses if security is a dumpster fire
– The Gestalt IT Rundown looks at the week that was in enterprise IT
– and we talk to Phil Gervasi about how he got started in IT
Plus a preview of Commvault GO 2017!
Interesting article about the spikes in traffic surrounding the celestial occurrence, and how companies are using predictive analytics to mitigate disruption. My favorite part? Wyoming is expecting 600,000 additional vehicles on its roads due to the eclipse. This is more than the population of the entire state!
In this iteration of Gestalt Server News:
– Datrium makes its case for Open Convergence
– We find out what exactly is Big Data
– Disambiguating HCI and Hybrid Cloud
Plus, Cray is partnering to bring supercomputing as a service to the masses
Podcast: Play in new window | Download (Duration: 23:54 — 15.5MB)
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To be clear, the answer to “what is big data?” isn’t the On-Premise IT Roundtable. Nevertheless, our panelists discuss what exactly they mean when they use the term, why it’s the new hotness, and how they’ve seen it impact organizations.
Confused by all the conflated claims around the abilities of “Big Data”? Karen Lopez is here with a little explainer about what it means to use data in the age of cloud computing. More importantly, Karen doesn’t mince words. Click here to find out why “Big Data” isn’t a thing.
With Big Data being all the rage in IT, it’s no wonder there are a lot of call for data scientists within organizations. The problem is, what exactly does this entail? It’s an emergent enough space that no clear cut certification are guaranteed for any expected hire. Gina Rosenthal looks at a sample of recent postings for data scientist positions on LinkedIn. She tries to determine just what exactly organization want when they put out these postings.
Diablo Technologies doesn’t think RAM is bad. Quite the opposite, they think we don’t have access to enough of it. As everyone from the Fortune 500 enterprise to Hyperscale corporations turn increasingly to Big Data, RAM is at a premium. Diablo’s solution to this is called Memory1. This takes abundant flash storage and make it byte addressable. With this, they are able to provide 128GB DDR4 flash memory DIMMs, with the implication being that a standard dual-socket x86 server now has system memory in the terabyte range.
Adam Banks at Ars Technica has a great writeup on how cheap RAM changes storage, and in effect system architecture. Cheap RAM means the ratio of RAM to storage is changing in the database, allowing for more data to be loaded and reducing disk reads. The problem? Well volatile memory is… volatile, not necessarily something […]
Robert Novak of rsts11 comments: Last month I managed to attend a big data event as an attendee, for the first time in nearly two years. One upside to being a big data storyteller is that you don’t get 3am oncall pages. Downsides at events like Strata include that you’re often working the booth, or […]
