Tech Article

How to move data science into production

Deploying data science into production is still a big challenge. Not only does the deployed data science need to be updated frequently but available data sources and types change rapidly, as do the methods available for their analysis. This continuous growth of possibilities makes it very limiting to rely on carefully designed and agreed-upon standards or work solely within the framework of proprietary tools.

KNIME has always focused on delivering an open platform, integrating the latest data science developments by either adding our own extensions or providing wrappers around new data sources and tools. This allows data scientists to access

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Gatsby JS stands on the shoulders of thousands

Many years ago Linux founder Linus Torvalds borrowed Sir Isaac Newton’s “standing on the shoulders of giants” phrase when discussing his open source work with Linux. While it’s a nice sentiment — “Hey, I’ve only been able to do great work because of a few others’ great work” — that may have applied to Linux in 1991, it doesn’t do a good job of describing open source in 2020. When someone releases open source code today, after all, they’re drawing on much more than a tiny set of genius developers.

No, as the latest release of Gatsby.js shows, modern open

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How to value cloud-based open source software services

The public cloud and open source software are pretty much coupled these days. No matter if you’re running Kubernetes as a service, MySQL, Linux, or that open source text editor you’ve used since college, it’s all there for the taking, as a service.

However, it’s really not free. Cloud providers charge for usage, either by time or other resource-units consumed. Indeed, it’s half or more of the cloud computing bills I’ve seen recently.

Some enterprises have not yet used open source on premises, not to mention cloud. Now that they are moving to the public cloud, both developers and infrastructure

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The best free data science courses during quarantine

If you are locked down because of the COVID-19 pandemic, you just might have some extra time on your hands. Binging Netflix is all well and good, but perhaps you are getting tired of that and you would like to learn something new.

One of the most lucrative fields to open up in the last couple of years is data science. The resources I list below will help those technical enough to understand math at the level of statistics and differential calculus to incorporate machine learning into their skill sets. They might even help you start a new career as

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Juniper CTO talks COVID-19, SD-WAN and shifting multicloud technology

In December, Juniper Networks  named industry veteran Raj Yavatkar chief technology officer. After extended stints with Google Cloud, VMware and Intel, Yavatkar is now charged with setting Juniper’s future courses in intelligent self-driving networks, security, network virtualization, packet-optical integration and how it will support hybrid cloud scenarios. Yavatkar recently talked with Network World about what technologies he sees currently impacting networking and what Juniper is planning for the near future. Here is an edited version of that conversation.

What impact has the COVID-19 pandemic had on Juniper?

First of all we are in a quiet period [ahead of the company’s

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Rethinking PCs and smartphones in a post-COVID-19 world

Disclosure:  Most of the companies mentioned are clients of the author.

Personal technology started with terminals, typewriters and wired analog phones. Security was a simple concern, mobility was something out of science fiction, and we pretty much leased everything. Put  differently, everything was a service. From the 1960s until now, we have been trying – largely unsuccessfully – to get back to that simpler time when we didn’t have to be a technician, things just worked, and we could focus more on our businesses, less on and keeping technology running. 

As the world moved from mainframes to PCs, from wired

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