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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.
Announcing ksqlDB 0.19.0
We’re pleased to announce ksqlDB 0.19.0! This release includes a new NULLIF function and a major upgrade to ksqlDB’s data modeling capabilities—foreign-key joins. We’re excited to share this highly requested […]
Tyrannical Data and Its Antidotes in the Microservices World
Data is the lifeblood of so much of what we build as software professionals, so it’s unsurprising that operations involving its transfer occupy the vast majority of developer time across […]
Create a Data Analysis Pipeline with Apache Kafka and RStudio
In Data Science projects, we distinguish between descriptive analytics and statistical models running in production. Overall, these can be seen as one process. You start with analyzing historical data to […]
What to Look Forward to at Kafka Summit APAC
Kafka Summit, now in its sixth year, is coming to Asia-Pacific! After launching in the U.S. in 2016 and in Europe in 2018, Kafka Summit APAC will feature speakers and […]
Crossing the Streams: The New Streaming Foreign-Key Join Feature in Kafka Streams
Companies adopt streaming data and Apache Kafka® because it provides them with real-time information about their business and customers. In practice, the challenge is that this information is spread across […]
Online, Managed Schema Evolution with ksqlDB Migrations
Making changes to a database schema is a natural part of software development. Often, it’s important to carefully manage the timing of changes and keep track of them over time. […]
Confluent Presented the Databricks ISV Momentum Partner Award 2021
I’m excited to announce that Confluent was presented with the Databricks ISV Momentum Award at the Databricks Partner Executive Summit last month. This award is given to the partner whose […]
Thank You
Today, Confluent became a publicly traded company. This is a big milestone in the short life of our company. To the employees, customers, partners, investors, and the larger developer community […]
Saxo Bank’s Best Practices for a Distributed Domain-Driven Architecture Founded on the Data Mesh
Al data til folket (all data to the people) is a compelling proposition in an enterprise context. Yet the ability to quickly address integration challenges and deliver data to those […]
Building Real-Time Event Streams in the Cloud, On Premises, or Both with Confluent
To the developer or architect seeking to provide their business with as much value as possible, what is the best way to start working with data in motion? Choosing Apache […]
Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka
Stream processing has become an important part of the big data landscape, a new programming paradigm bringing asynchronous, long-lived computations to unbounded data in motion. But many people still think […]
How to Better Manage Apache Kafka by Removing Residue Data with Control Center Cleanup Script
This blog post is the fourth in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. It focuses on removing […]
How to Better Manage Apache Kafka with Improved Topic Inspection via Last-Produced Timestamp
This blog post is the third in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. It focuses on inspecting […]
How to Better Manage Apache Kafka by Exporting Kafka Messages via Control Center
This blog post is the second in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. This blog post focuses […]