Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore
Jonathan Seidman

Jonathan Seidman
Software Engineer, Cloudera

Website | @jseidman

Jonathan Seidman is a software engineer on the cloud team at Cloudera. Previously, he was a lead engineer on the big data team at Orbitz, helping to build out the Hadoop clusters supporting the data storage and analysis needs of one of the most heavily trafficked sites on the internet. Jonathan is a cofounder of the Chicago Hadoop User Group and the Chicago Big Data Meetup and a frequent speaker on Hadoop and big data at industry conferences such as Hadoop World, Strata, and OSCON. Jonathan is the coauthor of Hadoop Application Architectures from O’Reilly.

Sessions

9:00am–12:30pm Tuesday, 12/01/2015
Hadoop Platform
Location: 321-322 Level: Intermediate
Gwen Shapira (Confluent), Ted Malaska (Capital One), Mark Grover (Lyft), Jonathan Seidman (Cloudera)
Average rating: ****.
(4.16, 19 ratings)
Looking for a deeper understanding of how to architect real-time data processing solutions? This tutorial will provide this understanding using a real-world example of a fraud detection system. We’ll use this example to discuss considerations for building such a system, how you’d integrate various technologies, and why those choices make sense for the use case in question. Read more.
11:50am–12:30pm Thursday, 12/03/2015
Event
Location: AMA Thursday (O'Reilly Booth)
Mark Grover (Lyft), Ted Malaska (Capital One), Gwen Shapira (Confluent), Jonathan Seidman (Cloudera)
Join the authors of Hadoop Application Architectures for an open Q/A session on considerations and recommendations for architecture and design of applications using Hadoop. Talk to us about your use-case and its big data architecture, or just come to listen in. Read more.