Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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

9:00–12:30 Tuesday, 30 April 2019
Foundations for successful data projects
Data Engineering and Architecture
 Location: Capital Suite 8
Secondary topics:  Financial Services
Ted Malaska (Capital One), Jonathan Seidman (Cloudera)
Average rating: ***..
(3.50, 12 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.
13:30–17:00 Tuesday, 30 April 2019
Running multidisciplinary big data workloads in the cloud
Data Engineering and Architecture
 Location: Capital Suite 4
Secondary topics:  AI and Data technologies in the cloud
Colm Moynihan (Cloudera), Jonathan Seidman (Cloudera), Michael Kohs (Cloudera)
Average rating: ****.
(4.00, 2 ratings)
Moving to the cloud poses a number of challenges. Join Colm Moynihan, Jonathan Seidman, and Michael Kohs to explore cloud architecture and challenges and learn how to use Cloudera Altus to build data warehousing and data engineering clusters and run workloads that share metadata between them using Cloudera SDX. Read more.