Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell

Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell

If you ever wondered what exactly dead letter queues (DLQs) are and how to use them, Jason Bell (Senior DataOps Engineer, Digitalis) has an answer for you. Dead letter queues are a feature of Kafka Connect that acts as the destination for failed messages due to errors like improper message deserialization and improper message formatting. Lots of Jason’s work is around Kafka Connect and the Kafka Streams API, and in this episode, he explains the fundamentals of dead letter queues, how to use t...

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Migrate Your Kafka Cluster with Minimal Downtime

Migrate Your Kafka Cluster with Minimal Downtime

Migrating Apache Kafka® clusters can be challenging, especially when moving large amounts of data while minimizing downtime. Michael Dunn (Solutions Architect, Confluent) has worked in the data space ...

1 Mars 20231h 1min

Real-Time Data Transformation and Analytics with dbt Labs

Real-Time Data Transformation and Analytics with dbt Labs

dbt is known as being part of the Modern Data Stack for ELT processes. Being in the MDS, dbt Labs believes in having the best of breed for every part of the stack. Oftentimes folks are using an EL too...

22 Feb 202343min

What is the Future of Streaming Data?

What is the Future of Streaming Data?

What’s the next big thing in the future of streaming data? In this episode, Greg DeMichillie (VP of Product and Solutions Marketing, Confluent) talks to Kris about the future of stream processing in e...

15 Feb 202341min

What can Apache Kafka Developers learn from Online Gaming?

What can Apache Kafka Developers learn from Online Gaming?

What can online gaming teach us about making large-scale event management more collaborative in real-time? Ben Gamble (Developer Relations Manager, Aiven) has come to the world of real-time event str...

8 Feb 202355min

Apache Kafka 3.4 - New Features & Improvements

Apache Kafka 3.4 - New Features & Improvements

Apache Kafka® 3.4 is released! In this special episode, Danica Fine (Senior Developer Advocate, Confluent), shares highlights of the Apache Kafka 3.4 release. This release introduces new KIPs in Kafka...

7 Feb 20235min

How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems

How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems

How can you use OpenTelemetry to gain insight into your Apache Kafka® event systems? Roman Kolesnev, Staff Customer Innovation Engineer at Confluent, is a member of the Customer Solutions & Innovation...

1 Feb 202350min

What is Data Democratization and Why is it Important?

What is Data Democratization and Why is it Important?

Data democratization allows everyone in an organization to have access to the data they need, and the necessary tools needed to use this data effectively. In short, data democratization enables better...

26 Jan 202347min

Git for Data: Managing Data like Code with lakeFS

Git for Data: Managing Data like Code with lakeFS

Is it possible to manage and test data like code? lakeFS is an open-source data version control tool that transforms object storage into Git-like repositories, offering teams a way to use the same wor...

19 Jan 202330min

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