R. Danes

R. Danes is a senior writer for theCUBE, SiliconANGLE Media’s mobile livestreaming studio, who is based on the East Coast. Her fondness for old media and longform journalism converges with an interest in new media and digital content trends. Exploring digital disruption in the realm of publications, articles and writing led her to writing articles about digital disruption everywhere. Find R. Danes on Twitter @DanesRd. Got a news tip? Please tweet us @siliconangle.

Latest from R. Danes

In the hyper-converged race, why are young companies leaving legacies in the dust?

As more companies bring hyper-converged infrastructure offerings to the table, there will be a separation into small, mid-market, and upper-end players — and who comes out on top may surprise you. If you’re expecting legacy giants to pull ahead and dwarf smaller players, think again. Doron Kempel, chairman and CEO of SimpliVity Corp., said there are ...

Can Spark do for machine learning what it’s done for data?

Data is rapidly simplifying, being democratized in part due to the work of open-source platform Apache Spark and its new release, Spark 2.0. Could the minds behind Spark’s data solutions make machine learning tasks just as manageable and intuitive for business environments? Joseph Bradley, Databricks, Inc. software engineer, said that Spark has a lot going for it ...

Double-team: The software/hardware sandwich that’s taking data up a level

As Spark pulls ahead as the data tool of choice for businesses, many software vendors will be dissecting their latest releases to discover what they’ve done differently. How is the open-source tool able to handle more data tasks with greater speed and accuracy? Companies out to mimic Spark will find they need to put software concerns ...

How Spark is transforming apps with data streaming

The real-time streaming enabled by Apache Spark 2.0, the newest version of the popular engine for Big Data processing, may be the best thing to happen to data so far this year. It’s difficult to think of another breakthrough that is solving so many issues for companies trying to make practical use of data. But ...

Just do it: Declarative programming for simplifying data queries

“Needle in a haystack” is one of the most commonly used phrases in discussions about Big Data. It’s a big messy job, all the more frustrating, because with a vast data lake, you know the answer is there if you could just figure out how to get at it. Write more code, combine operations, analyze ...

Questions out, decisions in: Cutting a path to monetizing data | #theCUBE

Do you work for one of the many companies waiting with bated breath for a vendor to deliver technology to answer all data questions? Think a shiny, patented software is going to come along and turn your data to dollars with the wave of a wand? Then this may surprise you: Companies already have the means to ...

Controlled chaos: Can containers straighten OpenStack’s zigzag course? | #OpenStackSV

Depending on OpenStack for crucial operations can be tricky, even for venturesome businesses. The technology is young, and still has yet to hit its stride as far as standardization. But the open door to new, bleeding-edge technologies is part of the appeal of OpenStack. Is there a way to keep the inflow of innovation without ...

VMworld preview: Changes jolt VMware; how will it deal? | #VMworld

VMware, Inc. has a lot to adjust to these days. With the ink still drying on EMC’s (VMware’s parent company) merger with Dell, Inc., no one knows for certain what kind of step-parent Dell will turn out to be. Will it allow VMware to keep its independence and play as liberally as ever in the ...

How will digitization change the way industries operate? | #PredixTransform

IoT is rapidly spinning out to larger uses in industries old and new. Some that have operated on the same fundamentals for decades are now looking at major changes enabled by digitized innovation. Some contend that industries will see improvements from operations to economics. Greg Petroff, Chief Experience Officer at GE Software and executive director of ...

The edge or the cloud? Where should analytics be and when? | #PredixTransform

Laypeople may hear Internet of Things (IoT) and think of a sensor that collects data and sends it back to a cloud or on-prem data center for analytics. The reality is much more complex. IoT developers’ work involves the delicate balance between the edge and the cloud, which varies from task to task and industry ...