Confluent Blog

This blog post announces the launch of the APAC deep dive of the data streaming report.

Event design plays a big role in your ability to fix bad data in your streams. But if you’ve wrecked a stream with bad data (i.e., it’s unavoidably contaminated), you'll need to employ a "rewind, rebuild, and retry" strategy.

Current 2024 recap post

In this edition, we’ll have a look at creating Kafka Streams topologies—exploring the dependency injection and design principles with Spring Framework, while also highlighting some syntactic sugar of Kotlin that makes for more concise and legible topologies.

This blog post talks about Confluent’s newest enhancement to their fully managed connectors: the ability to assume IAM roles.

At a high level, bad data is data that doesn’t conform to what is expected, and it can cause serious issues and outages for all downstream data users. This blog looks at how bad data may come to be, and how we can deal with it when it comes to event streams.

The blog post provides a comprehensive overview of the Flink Table API, demonstrating how it enables developers to express complex data processing logic using Java or Python in a user-friendly manner. It also includes practical examples and guidance, making it a valuable resource for anyone...

Read our latest Confluent Champion post to learn what motivated Nadine Capelle, staff solutions architect in Professional Services, to join the world of data streaming.

We are thrilled to announce yet another milestone in our integration capabilities with Microsoft Azure. Now, you can manage Confluent resources (Preview) directly from the Azure portal. This new capability not only simplifies the setup and management process but also empowers you to leverage the...

With Confluent sitting at the core of their data infrastructure, Atomic Tessellator provides a powerful platform for molecular research backed by computational methods, focusing on catalyst discovery. Read on to learn how data streaming plays a central role in their technology.

In this post, the second in the Kafka Producer and Consumer Internals Series, we follow our brave hero—a well-formed produce request—which is on its way to be processed by the broker and have its data stored on the cluster.

We covered so much at Current 2024, from the 138 breakout sessions, lightning talks, and meetups on the expo floor to what happened on the main stage. If you heard any snippets or saw quotes from the Day 2 keynote, then you already know what I told the room: We are all data streaming engineers now.

Mike Wallace is the new GM for the Public Sector, bringing 25 years of experience to lead the expansion of data streaming use by government agencies.

Whether you’re looking to jump-start a new use case, or accelerate your migration journey, collaborating closely with Confluent and our partners enables you to fulfill the increasing need for real-time customer experiences and applications, opening doors to new growth and success opportunities.