Location: San Jose, CA & New York, NY
Ebay
Location: San Jose, CA & New York, NY
(Original post with video of talk here)
Adam Illardi: Hi, I’m Adam Ilardi. I work here at eBay. I’m an applied researcher. Why do I choose eBay? It’s a pretty cool company. They sell the craziest stuff you’ll ever believe. There’s denim jean jackets with Nick Cage on the back, and this kind of stuff is all over the place. So it’s definitely cool.
The New York office is brand new. It’s less than a year. What does the New York office do? Well, we own the homepage of eBay, so the brand-new feed is developed right over there. You might even see one of the guys. He’s hiding. Okay. And also, all the merchandising for eBay is going to be run out of the New York office. So that’s billions of dollars worth of eBay business run right out of here. It’s a major investment eBay has made in New York, which is really cool.
So why you’re here is to find out how we use Scala and Hadoop, and given all the data we have, the two pair very nicely together, as you will see. All right, so let’s get started. Okay, these are some things we’ll cover—polymorphic function values, higher kinded types, Cokleislis Star Operator, some use of macros.
Tom Pinckney of eBay discusses eBay’s new graph-based recommendation engine. The first part of the talk is spent on discussing the theory behind the recommendation engine and the conceptual pieces of how it works.
The second part of the talk is spent on discussing eBay’s implementation of Cassandra to implement the recommendation engine. In particular, the focus is on how eBay is able to use Cassandra to handle the tremendous scale that eBay needs for this kind of a recommendation system. As you can imagine, eBay has a tremendous amount of data that is constantly coming in. In using Cassandra, Tom explains how eBay is able to handle that load.
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Jul 242013
Learn more about RaptorJS, Ebay’s open-source JavaScript toolkit for building adaptive modules and UI components. RaptorJS is lightweight, designed for scale and supports cool features like module sharing.
Advantages of Raptor.js
The Raptor toolkit is made to simplify your JavaScript and help you maintain modular design within your JavaScript code. The eBay designers also realized that modern projects need to perform in very high scale environments and is designed to support tremendous scale.
The toolkit is also very lightweight and portable. And the best thing about it is that eBay is providing engineering support for Raptor.js which means that you can rely on it to keep getting better and bugs being fixed.
Stay in touch to learn more about Raptor.
We are tracking the evolution of Raptor very closely (no pun intended). We feature some of the best open source content in our newsletter. So if you would like to stay up to date on Raptor.js and other open source projects, subscribe to our newsletter on our engineering newsletter page.
This talk is by , a data scientist at eBay, and was recorded at the NY-Scala meetup at eBay NYC. Adam talks about eBay’s transition from Pig and raw Cascading to Scalding and explains other ways they use Scala.
May 152013
eBay is looking for an experienced frontend developer to join their Feed team, where they are working on the new face of eBay.The eBay feed features a personalized assortment of products drawn from people’s unique interests. As a member of the Feed team you will be creating a beautiful new way to shop and discover online. Join us and work on something that mom’ll see and love!
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Feb 152013
We’ve got a new talk today and it’s really special. Seven leaders in mobile development gathered at one of the TechXploration events in San Jose to discuss the Future of Mobile Development. Listen to learn how to keep up with important mobile trends now, and also hear the future forecast from these visionaries.
Podcast: Play in new window | Download
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