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Content posted in November 2016
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Parallel VM Creation: Scaling Your OpenStack Cloud In Real-Time
Partner Perspectives  |  11/2/2016
You selected OpenStack to deploy an open private cloud. Anchoring it to traditional storage is like attaching a ball and chain that robs you of its benefits. Save time and money and enable new capabilities such as instantaneous and parallel VM creation by pairing your OpenStack environment with the software-defined storage of Ceph.
Will Digital Economy Create A Developer Shortage?
News  |  11/2/2016
As more companies seek to transform themselves digitally and effectively become software companies, some are going to have trouble filling "the developer gap," according to a Cloud Foundry report.
Can IT Pros Succeed Without A Bigger Role In Business?
Commentary  |  11/2/2016
Is your current IT role giving you the kind of well-rounded opportunities you need to succeed in the next five to ten years? There's seems to be a disconnect between opportunity and expectations when it comes to the way IT pros are viewed in the larger context of enterprise digital transformation. Here's what we learned from the 2016 InformationWeek US IT Salary Survey.
Hyperconverged Infrastructure And The Future Of IT: Podcast
Commentary  |  11/1/2016
In this episode of InformationWeek's Expert Voice podcast, we talk with Wikibon's Stu Miniman about hyperconverged infrastructures and why IT pros need to pay attention.
Analytics Dominate CRM Lead Management Products: Gartner
News  |  11/1/2016
Investments in predictive analytics, dashboards, and KPIs are coming to CRM lead management offerings, according to Gartner's most recent Magic Quadrant report for the category. The finding is reflective of an increasing number of IT organizations aiming to deliver more and better intelligence for sales and marketing users.
10 Factors Determining Data Pro Salaries
Slideshows  |  11/1/2016
O'Reilly Media's 4th annual survey of data professionals looks at tools, languages, gender, geographies, and a host of other factors that are predictors in terms of how much data workers can expect to earn. Where do you fit?
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