Tag: Software Architecture
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Technology-as-a-Service: An enterprise M2M strategy
Machine to Machine (M2M), Industrial Internet, Internet of Things (IoT)… different names, but they all in a way converge on the same thing, looked through different lenses. This is one of the biggest emerging trends in network computing. Mega-trends like these happen once in a decade or longer. At Sun Microsystems where I spent 10 years, […]
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Balancing Act: Build and Buy Strategy
In most startups, you begin with a hypothesis of how you are going to address a need, and hope to build a product or a solution that can fulfill that need and build a business out of it. The time to market is one among the many pressures weighing down on your mind. How do […]
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The Trifecta: Big Data, Mobile and Real-Time
[Cross-posted from JackBe blog] While it is interesting to come up with your own predictions, I am more interested in seeing what other people I follow are predicting. First, to see if there are some synergies – perhaps if they too say what I said, it somehow validates my prediction, or so I feel anyway. […]
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Next Generation of SOA is Here: Are You Taking Advantage?
[Cross posted from my JackBe blog] Since blogging my 2013 BI predictions, I’ve come across ZapThink’s predictions and one of them caught my eye. No, it is not about Big Data. It’s about something that has gone out of fashion, almost. It was about SOA. Here is the excerpt from ZapThink: Next generation SOA begins to coalesce – For […]
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Big Data Gets a Real-Time Face-Lift
[Cross posted from my JackBe blog] Read through any technology publication, website or blog and I dare you to tell me you didn’t come across a Big Data story. Big Data is hyped. And that’s not the first time I’ve said that. In fact, the last time I addressed this topic I declared that one […]
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Using enterprise mashups to save billions
I just came across this from Joe McKendrick on ZDNet Blogs that caught my eye – Study: Increase data usability, save billions. Here is an excerpt: Researchers say data usability can be improved by focusing on the following factors: Intelligence of data “can be improved through the accuracy of the prediction, trends analysis, recommendations and profile […]