What Is Data Mesh, and How Does it Work? ft. Zhamak Dehghani

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. Zhamak de...

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Ask Confluent #11: More Services, More Metrics, More Fun

Ask Confluent #11: More Services, More Metrics, More Fun

Do metrics for detecting clients from old versions actually exist? Or is Gwen making features up? This and more useful advice is coming up on today's episode of Ask Confluent. EPISODE LINKS The Java ...

26 Maalis 201914min

It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden

It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden

Nick Dearden explains the five stages of streaming maturity. They are not denial, anger, bargaining, depression and acceptance—that’s the Kübler-Ross model, and it’s for bad things. This one is for aw...

18 Maalis 201936min

Containerized Apache Kafka On Kubernetes with Viktor Gamov

Containerized Apache Kafka On Kubernetes with Viktor Gamov

Kubernetes provides all the building blocks needed to run stateful workloads, but creating a truly enterprise-grade Apache Kafka® platform that can be used in production is not always intuitive. In th...

11 Maalis 201941min

Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt

Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt

We all know that feeling of waiting when your ride is running late. Leslie Kurt shares about how you can use KSQL to calculate the difference between the expected arrival time and real-time updates of...

4 Maalis 201919min

KTable Update Suppression (and a Bunch About KTables) ft. John Roesler

KTable Update Suppression (and a Bunch About KTables) ft. John Roesler

When you are dealing with streaming data, it might seem like tables are things that dwell in the far-off land of relational databases, outside of Apache Kafka and your event streaming system. But then...

27 Helmi 201945min

Splitting and Routing Events with KSQL ft. Pascal Vantrepote

Splitting and Routing Events with KSQL ft. Pascal Vantrepote

Tim Berglund chats with System Engineer Pascal Vantrepote about a KSQL recipe he created based on a real-life customer use case in the financial services industry. They also discuss the advantages of ...

25 Helmi 201920min

Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis

Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis

Want to know how Kafka Connect distributes tasks to workers? Always thought Connect rebalances could be improved? In this episode of Ask Confluent, Gwen Shapira speaks with Konstantine Karantasis, sof...

20 Helmi 201921min

The Future of Serverless and Streaming with Neil Avery

The Future of Serverless and Streaming with Neil Avery

Neil Avery explores the intersection between FaaS and event streaming applications before taking a quick detour back in time to understand how we've gotten to this point in event-driven applications. ...

14 Helmi 201941min

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