Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
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 implementation. 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

1:30pm5:00pm Tuesday, September 26, 2017
Secondary topics:  Architecture
Jonathan Seidman (Cloudera), Gwen Shapira (Confluent), Mark Grover (Lyft)
Average rating: ****.
(4.11, 9 ratings)
Using Customer 360 and the IoT as examples, Jonathan Seidman, Mark Grover, and Gwen Shapira explain how to architect a modern, real-time big data platform leveraging recent advancements in the open source software world, using components like Kafka, Impala, Kudu, Spark Streaming, and Spark SQL with Hadoop to enable new forms of data processing and analytics. Read more.
11:20am12:00pm Thursday, September 28, 2017
Secondary topics:  Architecture, Cloud, Streaming
Gwen Shapira (Confluent)
Average rating: ****.
(4.50, 2 ratings)
Gwen Shapira explains how the three realities of modern programming—the explosion of data and data systems, building business processes as microservices instead of monolithic applications, and the rise of the public cloud—affect how developers and companies operate today and why companies across all industries are turning to streaming data and Apache Kafka for mission-critical applications. Read more.
1:15pm1:55pm Thursday, September 28, 2017
Location: 1E 14
Mark Grover (Lyft), Jonathan Seidman (Cloudera), Ted Malaska (Blizzard Entertainment), Gwen Shapira (Confluent)
Average rating: ****.
(4.00, 2 ratings)
Mark Grover, Ted Malaska, Gwen Shapira, and Jonathan Seidman, the authors of Hadoop Application Architectures, share 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.
2:05pm2:45pm Thursday, September 28, 2017
Data engineering, Data Engineering & Architecture
Location: 1E 07/08 Level: Intermediate
Gwen Shapira (Confluent)
Average rating: ***..
(3.33, 3 ratings)
There are many good reasons to run more than one Kafka cluster…and a few bad reasons too. Great architectures are driven by use cases, and multicluster deployments are no exception. Gwen Shapira offers an overview of several use cases, including real-time analytics and payment processing, that may require multicluster solutions, so you can better choose the right architecture for your needs. Read more.