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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.
Ranking Websites in Real-time with Apache Kafka’s Streams API
This article is by Hunter Kelly, Technical Architect at Zalando. Hunter enjoys using technology, and in particular machine learning, to solve difficult problems. He’s a graduate of the University of […]
Predicting Flight Arrivals with the Apache Kafka Streams API
Kafka Streams makes it easy to write scalable, fault-tolerant, and real-time production apps and microservices. This post builds upon a previous post that covered scalable machine learning with Apache Kafka, […]
Getting Started Analyzing Twitter Data in Apache Kafka through KSQL
KSQL is the streaming SQL engine for Apache Kafka®. It lets you do sophisticated stream processing on Kafka topics, easily, using a simple and interactive SQL interface. In this short […]
Using Kafka Streams API for Predictive Budgeting
At Pinterest, we use Kafka Streams API to provide inflight spend data to thousands of ads servers in mere seconds. Our ads engineering team works hard to ensure we’re providing […]
How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka
Scalable Machine Learning in Production with Apache Kafka® Intelligent real time applications are a game changer in any industry. Machine learning and its sub-topic, deep learning, are gaining momentum because […]
Disaster Recovery for Multi-Datacenter Apache Kafka Deployments
Datacenter downtime and data loss can result in businesses losing a vast amount of revenue or entirely halting operations. To minimize the downtime and data loss resulting from a disaster, […]
Crossing the Streams – Joins in Apache Kafka
This post was originally published at the Codecentric blog with a focus on “old” join semantics in Apache Kafka versions 0.10.0 and 0.10.1. Version 0.10.0 of the popular distributed streaming […]
It's Okay To Store Data In Kafka
A question people often ask about Apache Kafka® is whether it is okay to use it for longer term storage. Kafka, as you might know, stores a log of records, […]
How Apache Kafka is Tested
Introduction Apache Kafka® is used in thousands of companies, including some of the most demanding, large scale, and critical systems in the world. Its largest users run Kafka across thousands […]
The Simplest Useful Kafka Connect Data Pipeline in the World…or Thereabouts – Part 3
We saw in the earlier articles (part 1, part 2) in this series how to use the Kafka Connect API to build out a very simple, but powerful and scalable, streaming […]
Publishing with Apache Kafka at The New York Times
At The New York Times we have a number of different systems that are used for producing content. We have several Content Management Systems, and we use third-party data and […]
A Look Back at Kafka Summit San Francisco 2017
Another successful Kafka Summit is in the books! Around 800 Apache Kafka® committers, users, and enthusiasts joined us at the Hilton Union Square in San Francisco for a day of […]
Introducing KSQL: Streaming SQL for Apache Kafka
Note ksqlDB is the successor to KSQL. Read the announcement to learn more. To get started with ksqlDB in Confluent Cloud, you can sign up for fully managed Apache Kafka […]
Today is the day! Welcome to Kafka Summit San Francisco 2017!
A huge number of people have been hard at work to make today happen. Our speakers have been writing presentations and preparing to teach their audiences about new Apache Kafka® […]