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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.
Streaming in the Clouds: Where to Start
Only a few years ago, when someone said they had a “cloud-first strategy,” you knew exactly who their new preferred vendor was. These days, however, the story is a lot […]
Using Apache Kafka to Drive Cutting-Edge Machine Learning
Machine learning and the Apache Kafka® ecosystem are a great combination for training and deploying analytic models at scale. I had previously discussed potential use cases and architectures for machine […]
Kafka Connect Deep Dive – Converters and Serialization Explained
Kafka Connect is part of Apache Kafka®, providing streaming integration between data stores and Kafka. For data engineers, it just requires JSON configuration files to use. There are connectors for […]
Apache Kafka Supports 200K Partitions Per Cluster
In Kafka, a topic can have multiple partitions to which records are distributed. Partitions are the unit of parallelism. In general, more partitions leads to higher throughput. However, there are […]
How to Work with Apache Kafka in Your Spring Boot Application
Choosing the right messaging system during your architectural planning is always a challenge, yet one of the most important considerations to nail. As a developer, I write applications daily that […]
ATM Fraud Detection with Apache Kafka and KSQL
Fraud detection is a topic applicable to many industries, including banking and financial sectors, insurance, government agencies and law enforcement and more. Fraud attempts have seen a drastic increase in […]
That’s a Wrap! Kafka Summit San Francisco 2018 Roundup
Were you there last week? For as big as that event felt, it’s hard to believe it’s only the third annual Kafka Summit San Francisco. But the view was beautiful […]
Apache Kafka on Kubernetes – Could You? Should You?
When Confluent launched the Helm Charts and early access program for Confluent Operator, we published a blog post explaining how to easily run Apache Kafka® on Kubernetes. Since then, we’ve […]
Noise Mapping with KSQL, a Raspberry Pi and a Software-Defined Radio
Our new cat, Snowy, is waking early. She is startled by the noise of jets flying over our house. Can I determine which plane is upsetting her by utilizing Apache […]
Event Driven 2.0
In the future, data will be as automated and self-service as infrastructure is today. You’ll open a console that lists the data available in your company; define the pieces you […]
KSQL Recipes Available Now in the Stream Processing Cookbook
For those of you who are hungry for more stream processing, we are pleased to share the recent release of Confluent’s Stream Processing Cookbook, which features short and tasteful KSQL […]
Troubleshooting KSQL – Part 2: What’s Happening Under the Covers?
Previously in part 1, we saw how to troubleshoot one of the most common issues that people have with KSQL—queries that don’t return data even though data is expected. Here, […]
Is Event Streaming the New Big Thing for Finance?
While Silicon Valley is always awash with new technology buzzwords, one that has become increasingly dominant in recent years is stream processing: a type of software designed to transport, process […]
Troubleshooting KSQL – Part 1: Why Isn’t My KSQL Query Returning Data?
KSQL is the powerful SQL streaming engine for Apache Kafka®. Using SQL statements, you can build powerful stream processing applications. In this article, we’ll see how to troubleshoot some of […]