Technology

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...

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.

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’re excited to announce Early Access for Confluent for VS Code. This Visual Studio integration streamlines workflows, accelerates development, and enhances real-time data processing, all in a unified environment. This post shows how to get started, and also lists opportunities to get involved.

The Q3 Cloud Bundle Launch comes to you from Current 2024, where data streaming industry experts have come together to show you why data streaming is critical today, especially in the age of AI, and how it will become even more important in shaping tomorrow’s businesses...

If you are a developer looking for an easier way to test your apps on topics with schemas, this is for you! Now you can easily create a message with a topic schema directly from the Confluent Cloud Console, with built-in validation and error checking.

With AI model inference in Flink SQL, Confluent allows you to simplify the development and deployment of RAG-enabled GenAI applications by providing a unified platform for both data processing and AI tasks. Learn how you can use it to build a RAG-enabled Q&A chatbot using real-time airline data.

The beauty of Kafka as a technology is that it can do a lot with little effort on your part. In effect, it’s a black box. But what if you need to see into the black box to debug something? This post shows what the producer does behind the scenes to help prepare your raw event data for the broker.

62% of Confluent Cloud clusters run on AWS. Meanwhile, hundreds of thousands of customers are using DynamoDB. This blog explains how the connector helps customers integrate both platforms together.

Since launching our first cloud connector in 2019, Confluent’s fully managed connectors have handled hundreds of petabytes of data & expanded to include over 80 fully managed connectors, custom connectors, and private networking. Discover popular connectors, SMTs, and use cases on Confluent Cloud...

Been searching far and wide for examples of Spring Boot with Kotlin integrated with Apache Kafka®? You’ve found it. But not just an example with unstructured data or no schema management. Not here! We’re going all the way with Stream Governance in Confluent Cloud. Let’s get into it.

We are excited to announce the release of a new Confluent Cloud Homepage UI, inspired by many conversations and features requests from our customer and field teams. In the past, many users bypassed the Homepage as just another click in the way of what they are trying to accomplish. This redesign...

Skai completely revamped its interactive, ad-campaign dashboard by adding Apache Kafka and an in-memory database—eventually moving the solution to Confluent Cloud. Once on the Cloud, they devised an ingenious architecture for reducing the number of topics they needed.