Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Jay Kreps to talk about stream processing, his early coding days at LinkedIn, starting Confluent, the highs, the lows, and everything in between.
Michael Hunger and David Allen discuss Neo4j basics and major features introduced in Neo4j 3.4.15. They'll cover the history of the integration and features in relation to Apache Kafka®, change data capture (CDC), using Neo4j to put graph operations into an event streaming application, and how GraphQL fits in with event streaming and GRANDstack.
Gwen Shapira answers your questions on creating tables in nested JSON topics, how to balance ordering, latency and reliability, building event-based systems, and how to navigate the tricky endOffsets API. She also discusses the hardships of fencing zombie requests, talks given at previous Kafka Summits, and an important question from Ask Confluent #3.
Tim Berglund sits down with Ramesh Sringeri to discuss two Kafka use cases that Children's Healthcare of Atlanta is working on: achieving near-real-time streams of data to support meaningful intracranial pressure prediction and better manage intracranial pressure, and testing machine learning models with KSQL, Kafka Streams, and Kafka.
Tim Berglund invites Hans-Peter Grahsl to share about his involvement in the Apache Kafka® project, spanning from several conference contributions all the way to his open source community sink connector for MongoDB, now part of the official MongoDB Kafka connector code base.
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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