Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & 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

11:00am11:40am Wednesday, March 7, 2018
Secondary topics:  Data Integration and Data Pipelines
Gwen Shapira (Confluent)
Average rating: ****.
(4.93, 14 ratings)
Gwen Shapira shares design and architecture patterns that are used to modernize data engineering and details how Apache Kafka, microservices, and event streams are used by modern engineering organizations to efficiently build data pipelines that are scalable, reliable, and built to evolve. Read more.
11:50am12:30pm Wednesday, March 7, 2018
Meet the Experts
Location: Table A (Expo Hall)
Gwen Shapira (Confluent)
Gwen's Kafka expertise could be invaluable in answering your questions about: Apache Kafka internals, when Apache Kafka is not a good fit for a use-case, Apache Kafka and Cloud Native architectures, or Apache Kafka and IOT/Edge architectures. Read more.
5:10pm5:50pm Wednesday, March 7, 2018
Secondary topics:  Data Integration and Data Pipelines
Gwen Shapira (Confluent)
Average rating: *****
(5.00, 3 ratings)
Gwen Shapira shares design and architecture patterns that are used to modernize data engineering and details how Apache Kafka, microservices, and event streams are used by modern engineering organizations to efficiently build data pipelines that are scalable, reliable, and built to evolve. Read more.