Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Bernd Ruecker, a co-founder and the chief technologist at Camunda, talks through the company's journey, how he ended up in open source, and all things automation. Bernd also dives into dead letter topics in Kafka, software interacting with software, orchestration tension, and best practices for approaching challenges that pop up along the way. This episode will take you through a thorough introduction of the Komodo Cloud as well as Camunda’s Kafka connector.
Paul Rayner describes how the vast tooling in DDD enables developers to focus on the coding that really matters and makes systems more collaborative, taking into account three primary considerations: how to get better at collaborating, strategic design and understanding why design really matters, and modeling codes.
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.
Stewart Bryson dispels misconceptions around what “streaming ETL” means, and explains why event streaming and event-driven architectures compel us to rethink old approaches.
When it comes to data modeling, Dani Traphagen covers importance business requirements, including the need for a domain model, practicing domain-driven design principles, and bounded context. She also discusses the attributes of data modeling: time, source, key, header, metadata, and payload, in addition to exploring the significance of data governance and lineage and performing joins.
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.
If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.
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