Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
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

13:30–17:00 Tuesday, 22 May 2018
Architecting a next-generation data platform
SOLD OUT
Data engineering and architecture
 Location: Capital Suite 12 Level: Advanced
Secondary topics:  Data Platforms
Ted Malaska (Capital One), Jonathan Seidman (Cloudera)
Average rating: ****.
(4.33, 3 ratings)
Using Customer 360 and the IoT as examples, Jonathan Seidman and Ted Malaska explain how to architect a modern, real-time big data platform leveraging recent advancements in the open source software world, using components like Kafka, Flink, Kudu, Spark Streaming, and Spark SQL and modern storage engines to enable new forms of data processing and analytics. Read more.