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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.
Using Confluent Platform to Complete a Massive Cloud Provider Migration and Handle Half a Million Events Per Second
In the past 12 months, games and other forms of content made with the Unity platform were installed 33 billion times reaching 3 billion devices worldwide. Apart from our real-time […]
How to Use Single Message Transforms in Kafka Connect
Kafka Connect is the part of Apache Kafka® that provides reliable, scalable, distributed streaming integration between Apache Kafka and other systems. Kafka Connect has connectors for many, many systems, and […]
Introducing Confluent Cloud on Microsoft Azure
Today, we are proud to make Confluent Cloud available to companies leveraging the Microsoft Azure ecosystem of services, in addition to the previous rollouts on Google Cloud Platform (GCP) and […]
Machine Learning and Real-Time Analytics in Apache Kafka Applications
The relationship between Apache Kafka® and machine learning (ML) is an interesting one that I’ve written about quite a bit in How to Build and Deploy Scalable Machine Learning in […]
Getting Started with Rust and Apache Kafka
I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark, which you are welcome to read about in my previous […]
4 Steps to Creating Apache Kafka Connectors with the Kafka Connect API
If you’ve worked with the Apache Kafka® and Confluent ecosystem before, chances are you’ve used a Kafka Connect connector to stream data into Kafka or stream data out of it. […]
🚂 On Track with Apache Kafka – Building a Streaming ETL Solution with Rail Data
Trains are an excellent source of streaming data—their movements around the network are an unbounded series of events. Using this data, Apache Kafka® and Confluent Platform can provide the foundations […]
Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT
The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the […]
Kafka Summit San Francisco 2019 Session Videos
Last week, the Kafka Summit hosted nearly 2,000 people from 40 different countries and 595 companies—the largest Summit yet. By the numbers, we got to enjoy four keynote speakers, 56 […]
Building a Real-Time, Event-Driven Stock Platform at Euronext
As the head of global customer marketing at Confluent, I tell people I have the best job. As we provide a complete event streaming platform that is radically changing how […]
How to Run Apache Kafka with Spring Boot on Pivotal Application Service (PAS)
This tutorial describes how to set up a sample Spring Boot application in Pivotal Application Service (PAS), which consumes and produces events to an Apache Kafka® cluster running in Pivotal […]
How to Deploy Confluent Platform on Pivotal Container Service (PKS) with Confluent Operator
This tutorial describes how to set up an Apache Kafka® cluster on Enterprise Pivotal Container Service (Enterprise PKS) using Confluent Operator, which allows you to deploy and run Confluent Platform […]
Why Scrapinghub’s AutoExtract Chose Confluent Cloud for Their Apache Kafka Needs
We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract, which turns article and product pages into structured data. At Scrapinghub, we specialize in web data […]
Kafka Summit San Francisco 2019: Day 2 Recap
If you looked at the Kafka Summits I’ve been a part of as a sequence of immutable events (and they are, unless you know something about time I don’t), it […]