Wrap-up on Backup from VMworld US 2017

vmworld-2017-vid-ss.jpgVMworld is still “the place to be” for discussing data center modernization—and that means that there were several data protection vendors in attendance, each with something to say.

But what was most interesting is the general shift in VMware’s tone from a hypervisor or data center-centric vision to a cloud-first vision, particularly with its announcements around running VMware on AWS. As ESG often states, “When you modernize production, you must modernize protection”—because changes to production infrastructure (physical, virtual, or cloud-powered) will often require changes in data protect strategy and tools.

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Looking towards Data Management and Enablement in 2018 (Video)

JasonBCDM.jpgCopy Data Management (CDM) and all the permutations of “Copy” “Data” “Management” with or without additional terms like “Active” “Enterprise” “Virtualization,” etc., seems to be the rage these days. A few years ago, there was only one visionary company talking about CDM. Today, we see a range of vendors now claiming to be CDM, even when they don’t deliver the breadth of capabilities that the industry may have presumed CDM to be; and others who have been quietly delivering those capabilities and more, without the terminology (a.k.a. they were CDM before CDM was cool).

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Midyear Check-in on Data Protection Initiatives in 2017 (Animated Infographic)

At the halfway point in 2017, it seems appropriate to revisit the continued momentum around investing in better, more agile, more reliable, likely cloud-enhanced data protection. Early each year, ESG publishes its IT Spending Intentions report, where we look at where organizations are intending to invest their budgets.

In each of the six years that I have been at ESG, “Data Protection” in one or more forms is among the top of one or more priority lists. 

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Long Term Data Retention is Evolving – Are You? (Video)

It seems like every few months, a new regulation or mandate pops up to remind people to 1) keep their data longer and/or 2) delete it as soon as necessary. Those two edicts are not contrary to each other as long as you do them in that sequence; first, understand your retention requirements and then delete data beyond that retention date. But there is sooooo much more to it than that, since not all data has the same regulatory or operational retention benefits or requirements.

If you haven’t seen it already, please check out my earlier vBlog on “The Good, Better, Best of Data Management

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