January Kiji User Group Meetup

The January Kiji User Group meetup will be held on Wednesday, January 22nd from 6:00pm to 8:00pm. This meetup will be hosted by Macys.com, located at 685 Market Street, San Francisco, CA 94105. Please sign in at the entrance and follow the signs to the conference space downstairs. Food and drinks will be served.

WibiData VP of Engineering, Garrett Wu, will kick off the meetup with a brief introduction to Kiji. The introduction will be followed by Twitter Data Scientist, Oscar Boykin, who will present, "Under the Hood: Twitter Simplifies Scala and Cascading With Scalding." Following Oscar’s presentation, a Macys.com’s Analytics team member will present, "Real-time Recommendations at Macys.com with Kiji.” More details on the presentations can be found below.

"Under the Hood: Twitter Simplifies Scala and Cascading With Scalding"

Twitter, Oscar Boykin

Twitter's mission is to instantly connect people everywhere to what’s most meaningful to them. With over 200 million active users creating hundreds of millions of tweets every day, this requires quickly analyzing massive amounts of data at scale. This was the motivation behind Scalding, an open-source framework on top of MapReduce that allows data engineers to write big data jobs in a syntax that’s simple and concise. This talk will provide a brief history of Scalding, walk through real world use cases, examine some code examples and show interesting patterns we've seen in analytics to date.

"Real-time Recommendations at Macys.com with Kiji"

Macys.com, analytics team member

Macys.com (http://macys.com/) uses the Kiji environment and its portfolio of tools to power a real-time site recommendation platform that serves the right customers with the right recommendations at the right time, improving the relevance of each message and customer experience. In this talk, Macys.com team will present how Macys.com uses the Kiji tools for real-time marketing activities.