Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
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, March 26, 2019
Foundations for successful data projects
Data Engineering & Architecture
 Location: 2006
Secondary topics:  AI and machine learning in the enterprise
Jonathan Seidman (Cloudera), Ted Malaska (Capital One)
Average rating: ****.
(4.00, 6 ratings)
The enterprise data management space has changed dramatically in recent years, and this had led to new challenges for organizations in creating successful data practices. Jonathan Seidman and Ted Malaska share guidance and best practices from planning to implementation based on years of experience working with companies to deliver successful data projects. Read more.