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Confluent Blog
Data Products, Data Contracts, and Change Data Capture
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Introducing Confluent Cloud Freight Clusters
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
Contributing to Apache Kafka®: How to Write a KIP
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
APAC Data Streaming Deep Dive: Unlocking Business Agility and Innovation Across the Region
This blog post announces the launch of the APAC deep dive of the data streaming report.
Shift Left: Bad Data in Event Streams, Part 2
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.
Spring Into Confluent Cloud with Kotlin – Part 2: Kafka Streams
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.
Enhancing Security with IAM Roles in Confluent Managed Connectors
This blog post talks about Confluent’s newest enhancement to their fully managed connectors: the ability to assume IAM roles.
Shift Left: Bad Data in Event Streams, Part 1
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.
Your Guide to the Apache Flink® Table API: An In-Depth Exploration
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...
Allure of Data in Motion Inspires Move to Confluent’s Professional Services Team
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.
Expanding Confluent's Integration with Microsoft Azure®: Create and Manage Confluent Resources Directly from the Azure Portal with Confluent's Fully Managed Connectors (Preview)
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...
Atomic Tessellator: Revolutionizing Computational Chemistry with Data Streaming
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.
Handling the Producer Request: Kafka Producer and Consumer Internals, Part 2
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.
Convening With Data Streaming Engineers at Current 2024
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.
Michael J. Wallace Joins Confluent as Public Sector GM
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.
Unlocking Real-Time Insights and Making Migrations a Breeze: 13 New Partner Solutions and Offerings Launched
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.