Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Payments leverages Confluent Cloud to help banks of all sizes transform to real-time banking services from traditionally batch-oriented, bankers’ hours operational mode. This is achieved through Apache Kafka® and the Kafka Streams and Kafka Connect APIs from Clojure using functional programming paradigms like transducers.
Jay Kreps introduces ksqlDB, the event streaming database purpose-built for stream processing applications. As the successor to KSQL, ksqlDB is a specialized database for stream processing on top of Kafka, merging the concepts behind streams of data with tables of data.
Ansible keeps your Apache Kafka® deployment, management, and installation consistent, and helps you implement best practices that make it easy to get started. Justin Manchester (Platform DevOps Engineer, Confluent) and Viktor Gamov (Developer Advocate, Confluent) discuss the problems that Ansible is trying to solve, enabling collaboration and optimizing all components for top performance.
With a virtual private cloud (VPC)—your own private network in the cloud that you can launch your own instances into—you can secure your cloud infrastructure and minimize the threat of potential attackers with VPC Peering, connecting VPCs together to create a path between them to keep your data safe and accessible to you alone.
Stewart Bryson dispels misconceptions around what “streaming ETL” means, and explains why event streaming and event-driven architectures compel us to rethink old approaches.
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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