Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Gwen Shapira

Gwen Shapira
System Architect, Confluent

Website | @gwenshap

Gwen Shapira is a system architect at Confluent, where she helps customers achieve success with their Apache Kafka implementations. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an Oracle Ace Director, the coauthor of Hadoop Application Architectures, and a frequent presenter at industry conferences. She is also a committer on Apache Kafka and Apache Sqoop. When Gwen isn’t coding or building data pipelines, you can find her pedaling her bike, exploring the roads and trails of California and beyond.

Sessions

1:30pm–5:00pm Tuesday, 03/29/2016
Jonathan Seidman (Cloudera), Ted Malaska (Capital One), Gwen Shapira (Confluent), Mark Grover (Lyft)
Average rating: ****.
(4.48, 23 ratings)
Jonathan Seidman, Ted Malaska, Gwen Shapira, and Mark Grover walk participants through building a fraud-detection system, using an end-to-end case study to provide a concrete example of how to architect and implement real-time systems via Apache Hadoop components like Kafka, HBase, Impala, and Spark. Read more.
5:10pm–5:50pm Wednesday, 03/30/2016
Data Innovations

Location: 210 C/G
Tags: real-time
Todd Palino (LinkedIn), Gwen Shapira (Confluent)
Average rating: ****.
(4.62, 13 ratings)
Apache Kafka lies at the heart of the largest data pipelines, handling trillions of messages and petabytes of data every day. Learn the right approach for getting the most out of Kafka from the experts at LinkedIn and Confluent. Todd Palino and Gwen Shapira explore how to monitor, optimize, and troubleshoot performance of your data pipelines—from producer to consumer, development to production. Read more.
11:50am–12:30pm Thursday, 03/31/2016
Ask Me Anything

Location: 211 A-C
Mark Grover (Lyft), Jonathan Seidman (Cloudera), Ted Malaska (Capital One), Gwen Shapira (Confluent)
Average rating: *****
(5.00, 1 rating)
Mark Grover, Jonathan Seidman, Ted Malaska, and Gwen Shapira, the authors of <i>Hadoop Application Architectures</i>, participate in an open Q&A session on considerations and recommendations for the architecture and design of applications using Hadoop. Come with questions about your use case and its big data architecture or just listen in on the conversation. Read more.