Financial institutions, like other critical service industries such as health care and air travel, have the unique challenge of no room for failure. It’s a bad day if your ATM card doesn’t work. It’s a really bad day if you do a bunch of online trading based on incorrect information. Fintech startups, beware. Money, as it turns out, is kind of a big deal to a lot of people.

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If you’re running Big Data applications, you’re going to want to look at some kind of distributed processing system. Hadoop is one of the best-known clustering systems, but how are you going to process all your data in a reasonable time frame?
MapReduce has become a standard, perhaps the standard, for distributed file systems. While it’s a great system already, it’s really geared toward batch use, with jobs needing to queue for later output. This can severely hamper your flexibility. What if you want to explore some of your data? If it’s going to take all night, forget about it.

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At some point you’ve probably heard the term “test early and often.” If you are in an Agile organization, that term perfectly captures the philosophy of iterative development and the commitment to rooting out defects sooner rather than later. It’s nice – maybe even ironic – that a phrase which had such unscrupulous origins is now a hallmark characteristic of a process that exemplifies teamwork and quality. It’s in that modern spirit that we wanted to share these 10 strategies to help you test early – and test often.

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Whether you are ready to start coding your first Node.js project, or if you are a seasoned veteran and need finish up a new exciting project, odds are you will need some functionality that has been written many times before by others. One of the beauties of the internet is the ability to create and share things. Node.js is a great language set in itself, but one key selling point is the vast amount of code that is available for free download.

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SYS-CON Events announced today that Spirent Communications, the leader in testing navigation and positioning systems, will exhibit at SYS-CON’s @DevOpsSummit Silicon Valley, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Spirent Communications enables innovations in communications technologies that help connect people. Whether it is service provider, data centers, enterprise IT networks, mobile communications, connected vehicles or the Internet of Things, Spirent solutions are working behind the scenes to help the world communicate and collaborate faster, better and more securely. The world’s innovators rely on Spirent expertize to help them design, develop and deliver best-in-class solutions to their customers.

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The traditional, on-premise computing model has established processes, accreditations, certifications, governance and compliance rules – FISMA, NERC CIP, HIPAA, PCI-DSS, IRS 1075. While the security industry is aggressively addressing the technical security gaps in cloud-driven services, many organizations using cloud services are struggling to implement and adapt strategic processes, procedures, and controls for cloud governance and due diligence.

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SYS-CON Events announced today that Cavirin will exhibit at the 17th International CloudExpo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Cavirin engineers security and compliance solutions to protect the elastic enterprise against destructive cyber threats. Headquartered in Santa Clara, CA, Cavirin technology provides comprehensive protection in both the datacenter and across multiple cloud instances and accounts. Global enterprise and Software-as-a-Service (SaaS) leaders depend on Cavirin to mitigate dangerous breaches that damage brand integrity and shareholder value.

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We’ve all had that moment where a friend comments (or complains) on social media about the new layout of a particular site. But you still see it the way it has been for months, and you have no idea what they are talking about. This is because the company that runs the site is likely using a Canary Release.

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The potential of big data is only limited by the creative thinking of your business stakeholders, and that may be the most important concept in the “thinking like a data scientist” process. The “thinking like a data scientist” process guides the business stakeholders into envisioning how big data can optimize their key business processes, create a more compelling customer engagement and uncover new monetization opportunities. But neither the business stakeholders, nor the data scientists, can likely do that envisioning entirely by themselves.

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Had Mark Twain lived today, we might hear him utter the oath lies, damn lies, and analytics. Statistics to be sure may still be used to distort the truth – but now with the sudden explosion of big data, analytics threaten the same fate.
I’m not talking about intentional distortion here – that’s another story entirely. Rather, the risk of unintentional distortion via data analytics is becoming increasingly prevalent, as the sheer quantity of data increases, as well as the availability and usability of the analytics tools on the market.
The data scientists themselves aren’t the problem. In fact, the more qualified data scientists we have, the better. But there aren’t enough of these rare professionals to go around.

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