programming

bigdata

BigData

The author of Appcelerator Titanium: Up and Running describes how Titanium can be used to generate native mobile apps from JavaScript code. He distinguishes the Titanium platform from native API programming and from other popular JavaScript platforms for mobile devices. We look at the way Titanium exploits the expressiveness and flexibility of JavaScript, and some of the directions that the Appcelerator company is taking Titanium."

Building native apps from JavaScript using Titanium - John Anderson

Jay Parikh, VP of Infrastructure Engineering, Facebook, talks about where The Open Compute Project has been and where it is going!

The Open Compute Project

Barton George, Director of Developer Programs at Dell, discusses Project Sputnik and the progress Dell has made since last OSCON 2012.

Project Sputnik

Steve Wendel, Principal Scientist at HelloWallet, talks about how to design products and services that help users change behavior. Steve discusses the good and bad example of designing for behavior change, importance of testing and iteration, role of psychology, and resources and tools.

Purposeful Design Principles for Behavior Change

Francesc Campoy Flores, Go Developer Programs Engineer at Google, talks about Go best practices.

Go Best Practices

Mark Grover, a Software Engineer at Cloudera, talks about working in the Hadoop ecosystem.

Working in the Hadoop Ecosystem

If you are confused about Hewlett-Packard's cloud plan of action, this week's guest will lay it out for you. Bill Hilf, the SVP of Helion product management, makes his second appearance on the show (does that make him our Alec Baldwin?) to talk about HP's many-clouds-one-management layer strategy.

The lineup? Helion Eucalyptus for private clouds which need Amazon Web Services API compatibility; Helion OpenStack for the rest and HP Cloud Development Platform (aka Cloud Foundry) for platform as a service.  Oh and there's HP Public Cloud which I will let him tell you about himself.

But first Derrick Harris and I are all over IBM's purchase of AlchemyAPI, the cool deep learning startup that does stuff like identifying celebs and wanna-be celebs from their photos. It's a win for [company]IBM [/company]because all that coolness will be sucked into Watson and expand the API set Watson can parlay for more useful work. (I mean, winning Jeopardy is not really a business model, as IBM Watson exec Mike Rhodin himself has pointed out.) 

At first glance it might seem that a system that can tell the difference between Will Ferrell and Chad Smith might be similarly narrow, but after consideration you can see how that fine-grained, self-teaching technology could find broader uses.

AlchemyAPI CEO Elliot Turner and IBM Watson sales chief Stephen Gold shared the stage at Structure Data last year. Who knows what deals might be spawned at this year's event?

Celebrity_ChadSmith_WillFerrell_cropped

Also we're happy to follow the escalating smack talk in the Hadoop arena as Cloudera CEO Tom Reilly this week declared victory over the new Hortonworks-IBM-Pivotal-backed Open Data Platform effort which we're now fondly referring to as the ABC or "Anyone But Cloudera" alliance.

It's a lively show so have a listen and (hopefully) enjoy.

The Hadoop wars, HP cloud(s) and IBM's big win

"Machine learning is to big data as human learning is to life experience," says Christopher Nguyen, the co-founder and CEO of big data intelligence company Adatao. Sure, but then, what IS big data? (especially as it's become a buzzword that captures so many things)... 

On this episode of the a16z Podcast, Nguyen puts on his former computer science professor hat to describe 'big data' in relation to 'machine learning' -- as well as what comes next with 'deep learning'. Finally, the former Google exec shares how Hadoop and Spark evolved from the efforts of companies dealing with massive amounts of real-time information; what we need to make machine learning a property of every application (why would we even want to?); and how we can make all this intelligence accessible to everyone.

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a16z Podcast: Making Sense of Big Data, Machine Learning, and Deep Learning

One of the most active and fastest growing open source big data cluster computing projects is Apache Spark, which was originally developed at U.C. Berkeley's AMPLab and is now used by internet giants and other companies around the world. Including, as announced most recently, IBM. 

In this Q&A with Spark inventor Matei Zaharia -- also the CTO and co-founder of Databricks (and a professor at MIT) -- on the heels of the recent Spark Summit, we cover the difference between Hadoop MapReduce and Spark; what are the ingredients of a successful open source project; and the story of how Spark almost helped a friend win a million dollars.

a16z Podcast: A Conversation With the Inventor of Spark

Hadoop, BigData and Cassandra with Jonathan Ellis

The O'Reilly Programming Podcast gives coders, programmers, developers, and app makers tips and tricks to get tasks accomplished on time and on budget, keep up with the programming language advancements, and find out what is going on in the programming community.