Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Yaroslav Tkachenko shares about how matchmaking services, microtransactions, and telemetry statistics all play a role in Activision’s challenging (but fun) event streaming use cases. Learn about how Activision ingests huge amounts of data, what the backend of their massive distributed system looks like, and the automated services involved for collecting data from each pipeline.
A quick summary of new features, updates, and improvements in Confluent Platform 5.4, including Role-Based Access Control (RBAC), Structured Audit Logs, Multi-Region Clusters, Confluent Control Center enhancements, Schema Validation, and the preview for Tiered Storage.This release also includes pull queries and embedded connectors in preview as part of KSQL.
Learn about connectors, how they simplify data integrations, and how they're built for Confluent Cloud for use on major cloud providers like GCP, Azure, and AWS to help implement Apache Kafka within existing systems in an easy way.
One way to put Apache Kafka into action is geofencing and tracking the location data of objects, barges, and cars in real time. Guido Schmutz shares about one such use case involving a German steel company and the development project he worked on for them.
Dustin Cote (Product Manager for Observability, Confluent Cloud) talks about Apache Kafka® made serverless and how beyond just the brokers, Confluent Cloud focuses on fitting into customer systems rather than building monitoring silos.
Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the senior director of developer advocacy. He can frequently be found at speaking at conferences in the U.S. and all over the world. Tim is the co-presenter of various O'Reilly training videos on topics ranging from Git to distributed systems, and he is the author of "Gradle Beyond the Basics." He lives in Littleton, CO, U.S., with the wife of his youth.
Gwen Shapira is an engineering leader at Confluent. She has over 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen is the author of "Kafka: The Definitive Guide" and "Hadoop Application Architectures." Gwen is a frequent presenter at industry conferences, a PMC member on the Apache Kafka project, and a committer on Apache Sqoop™. When Gwen isn't building data pipelines or thinking up new features, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.
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