Streaming Audio: A Confluent Podcast about Apache Kafka
Listen to Tim Berglund and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
What Is Data Mesh, and How Does it Work? ft. Zhamak Dehghani
The data mesh architectural paradigm shift is all about moving analytical data away from a monolithic data warehouse or data lake into a distributed architecture—allowing data to be shared for analytical purposes in real time, right at the point of origin. The idea of data mesh was introduced by Zhamak Dehghani (Director of Emerging Technologies, Thoughtworks) in 2019. Here, she provides an introduction to data mesh and the fundamental problems that it’s trying to solve.
Making Abstract Algebra Count in the World of Event Streaming ft. Sam Ritchie
During his time at Twitter, Sam Ritchie led the development of Summingbird, a project that helped Twitter ingest and process massive amounts of data, relieving some key pain points for developers at Twitter. In this episode, Sam dives teaches us some abstract algebra and explains how it has informed his attempts to make stream processing programs easy to write in a more general way.
Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart
James Urquhart (Global Field CTO, VMware) is writing a book about worldly mapping and evaluating user needs in order to make event streaming a more economic choice for users. James argues that reducing the cost of integration does not deter people from buying but instead encourages creativity to find more uses for integration.
Explore, Expand, and Extract with 3X Thinking ft. Kent Beck
Kent Beck chats about various topics of broad interest to developers, including some of his books. He shares about what it’s like to experiment and implement new ideas, especially when others doubt what you're trying to achieve, as well as the difference between refactoring and tidying, his involvement with agile software and test-driven development, and what exactly test-commit-revert is. And yes, Kent talks a little bit about event streaming too!
Jay Kreps on the Last 10 Years of Apache Kafka and Event Streaming
Jay Kreps to talk about stream processing, his early coding days at LinkedIn, starting Confluent, the highs, the lows, and everything in between.
Meet your host
Tim Berglund
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.
Got questions?
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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