Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, 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

5:10pm–5:50pm Wednesday, March 27, 2019
Cloud native data pipelines with Apache Kafka
Data Engineering & Architecture
 Location: 2001
Secondary topics:  AI and Data technologies in the cloud, Data Integration and Data Pipelines
Gwen Shapira (Confluent)
Average rating: ****.
(4.64, 11 ratings)
As microservices, data services, and serverless APIs proliferate, data engineers need to collect and standardize data in an increasingly complex and diverse system. Gwen Shapira discusses how data engineering requirements have changed in a cloud native world and shares architectural patterns that are commonly used to build flexible, scalable, and reliable data pipelines. Read more.