R. Danes
Latest from R. Danes
Rocket Software talks mainframes with data scientists who’ve never seen one | #IBMML
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) is dead; mainframes are the future. They burst into laughter. Well, maybe they didn’t laugh, but the data scientists Bryan Smith (pictured), chief ...
It’s 2017, so why do almost all banks, airlines and retailers still run on mainframes? | #IBMML
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 mobile live streaming studio, bumped into Maddern at the IBM Machine Learning Launch Event in NYC. “He was like, ‘Almost all the ...
Can a smarter mainframe with baked-in analytics solve IoT’s scale problem? | #IBMML
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 analytics and flexible scaling options shorten the route from ingest to insight? The latest DB2 iteration (IBM Corp.’s relational database management ...
Will rise of ‘continuous’ data apps give the database game to NoSQL, NewSQL? | #SparkSummit
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 much will these applications change the game? Streaming analytics are already transforming the database market, according to George Gilbert (@ggilbert41 — pictured at left), ...
User feedback flywheel is data’s real value-add, say analysts
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 Summit East 2017 conference in Boston, George Gilbert (pictured, left) of theCUBE, SiliconANGLE Media’s mobile live streaming studio, argued that Spark has not ...
Arrested development: Spark’s immaturity shows in end-to-end IoT, say analysts | #SparkSummit
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 software developers through their paces. At Spark Summit East 2017 Boston, George Gilbert (@ggilbert41) (pictured at left), Wikibon analyst and co-host ...
Can a data-powered mobile app take the pain out of cramming for exams? | #SparkSummit
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 at McGraw-Hill Education, an educational publisher. The old textbook company has gone high tech, now calling itself a “learning science” company, ...
Can Spark break the compute bottleneck holding back big data apps?
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. But they need tools that make data more available to applications. To that end, mixing streaming, batch and interactive data for ...
These skills have nothing to do with data, so why do all data scientists need them now? | #WiDS2017
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 even more important for interpretation, evaluating the data — is it good data, bad data, clean data? Maybe it’s too clean,” ...
Feeding the data science famine: AI, social learning in the cloud | #WiDS2017
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 pearls of wisdom to address the data scientist shortage: job security comes with the freedom to take risks in problem-solving, and democratized ...