Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
TensorFlow is Google's version of wrangling various technologies to help group them together and work smoothly as large amounts of data flow through. Chris Mattmann, author of Machine Learning with TensorFlow, explains neural networks, how technology simulates cerebral processes that take place when our visual cortex receives a new image, and a use case that involves Apache Kafka® and event streaming to achieve TensorFlow's goals.
Gwen Shapira shares about what it's like to be a distributed systems engineer at Confluent and best tips for approaching a project like Apache Kafka. She talks through the steps she took to get to Confluent and how she got started working with Apache Kafka, including her experience as on the PMC for the Apache Software Foundation.
Jakub Korab discusses what professional services actually is and how it relates to customer success. It all centers around what customers want to do, and you’ll hear about trends, Kafka use cases, and real-life examples of professional services in action within various industries over the last year.
What is Knative and how does it simplify Kubernetes-related processes through seamless extension? Jacques Chester is publishing a book called “Knative in Action” that walks through the problems Knative is trying to solve, the relationship between Knative and serverless, and simplifying your Kubernetes cluster.
Liz Bennett explains how she implemented Apache Kafka® at Stitch Fix, her previous employer, where she successfully introduced Kafka first through a Kafka hackathon and then by pitching it to the management team.
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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