R. Danes, Author at SiliconANGLE

Infra

Rocket Software talks mainframes with data scientists who’ve never seen one | #IBMML

By R. Danes Feb 15, 2017

A chief technology officer walks into a tech conference and approaches some data scientists. He asks them how they begin their analytics processes. They all say, “ETL.” He tells them ETL (extract, transform, load)…

Infra

It’s 2017, so why do almost all banks, airlines and retailers still run on mainframes? | #IBMML

By R. Danes Feb 15, 2017

What kind of dinosaurs show up for a conference on mainframes? How about Chris Maddern, architect of Venmo, the digital wallet app popular with millennials. Stu Miniman (@stu) (pictured, left), co-host of theCUBE, SiliconANGLE Media’s…

Big Data

Can a smarter mainframe with baked-in analytics solve IoT’s scale problem? | #IBMML

By R. Danes Feb 15, 2017

Storing massive data is a big enough challenge for enterprises, but jetting it around for analytics is an even mightier feet — one that Internet of Things applications nonetheless demand. Can a mainframe with baked-in…

Big Data

Will rise of ‘continuous’ data apps give the database game to NoSQL, NewSQL? | #SparkSummit

By R. Danes Feb 10, 2017

In the beginning there was batch computing. Then came interactive. Now we are entering the era of the streaming application. The technologies are still nascent, but the work to perfect them is underway. How…

Big Data

User feedback flywheel is data’s real value-add, say analysts

By R. Danes Feb 9, 2017

Apache Spark claims to be the largest and most active open-source big data project in existence, but is it delivering on the big data promise to businesses in the real world? At the Spark…

Big Data

Arrested development: Spark’s immaturity shows in end-to-end IoT, say analysts | #SparkSummit

By R. Danes Feb 8, 2017

Batch, continuous and interactive: Those are the three data ingredients needed to power tomorrow’s analytic and Internet of Things applications. But getting them to harmonize in an end-to-end model is taking Spark and other…

Big Data

Can a data-powered mobile app take the pain out of cramming for exams? | #SparkSummit

By R. Danes Feb 8, 2017

Fascinating new data use-case alert: Students’ study data can now be used to make them smarter, help them remember more and get better grades. This is according to Alfred Essa (pictured), VP of analytics and R&D…

Big Data

Can Spark break the compute bottleneck holding back big data apps?

By R. Danes Feb 8, 2017

Now that businesses have all of this big data, what exactly are they going to do with it? At the Spark Summit East 2017 conference in Boston, Massachusetts, the answer seems to be: Lots.…

Big Data

These skills have nothing to do with data, so why do all data scientists need them now? | #WiDS2017

By R. Danes Feb 6, 2017

The Stanford Global Women in Data Science Conference 2017 wrapped up last week, leaving attendees clearer on where the young field is maturing and where there is room for improvement. “The softer skills are increasingly…

Big Data

Feeding the data science famine: AI, social learning in the cloud | #WiDS2017

By R. Danes Feb 3, 2017

A forward-thinking keynote from Diane Greene, SVP of Google Cloud, considers a real-world approach to employing those most at risk of losing jobs to machine automation. At the Stanford Global Women in Data Science Conference, Greene shares two…

R. Danes

Rocket Software talks mainframes with data scientists who’ve never seen one | #IBMML

It’s 2017, so why do almost all banks, airlines and retailers still run on mainframes? | #IBMML

Can a smarter mainframe with baked-in analytics solve IoT’s scale problem? | #IBMML

Will rise of ‘continuous’ data apps give the database game to NoSQL, NewSQL? | #SparkSummit

User feedback flywheel is data’s real value-add, say analysts

Arrested development: Spark’s immaturity shows in end-to-end IoT, say analysts | #SparkSummit

Can a data-powered mobile app take the pain out of cramming for exams? | #SparkSummit

Can Spark break the compute bottleneck holding back big data apps?

These skills have nothing to do with data, so why do all data scientists need them now? | #WiDS2017

Feeding the data science famine: AI, social learning in the cloud | #WiDS2017

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