Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
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...
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.
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.
This week, Current | The Next Generation of Kafka Summit kicked off year two of its run as the industry conference for all things Apache Kafka® and real-time data streaming. Hosted in San Jose, the summit welcomed over 2.1k in-person attendees (and 3.5k+ who joined virtually)...
Sarvant Singh, vice president of Data and Emerging Solutions at Penske Transportation Solutions, will tell you that Penske is more than just the yellow trucks you see on the roads. And rightly so...
While the promise of AI has been around for years, there’s been a resurgence thanks to breakthroughs across reusable large language models (LLMs), more accessible machine learning models, more data than ever, and more powerful GPU capabilities. This has sparked organizations to accelerate their AI
Today, we’re introducing Confluent Cloud’s fully managed service for Apache Flink®, improvements to Kora Engine, how AI and streaming work together, and much more.
As of today, Confluent Cloud for Apache Flink® is available for preview in select regions on AWS. In this post, learn how we’ve re-architected Flink as a cloud-native service on Confluent Cloud.
To reliably prevent malware threats and phishing scams, get privacy and identity protection for your digital presence, and prevent your data from being compromised, who do you turn to for solutions? Probably McAfee...
Learn how US Foods built a digital-first ecommerce platform—using data streaming to future-proof its infrastructure and implement data mesh principles.
Chances are, if you’re working to build mission-critical applications, you’re familiar with the intersections where AI, machine learning, and data (both real-time and historical) meet. At this stage in the game, AI is becoming prevalent...
Learn the best practices for integrating Confluent with AWS Lambda to build event-driven architectures.
Today’s consumers expect their orders to be fulfilled rapidly. Retail giants like Amazon, Target, and Walmart all offer same day delivery, and consumers now demand the same from other retailers; according to a recent study by McKinsey...
Learn about the role of batch.size and linger.ms in data compression.
From traditional brick-and-mortar institutions to digitally native financial services companies, data streaming is fueling the next wave of emerging tech in finance and banking...
From locomotive analytics companies tracking predictive maintenance data, to digital-native companies tracking semi-trailer trucks’ movement across America’s highways, or municipalities using 100’s of buses to move people around their city, Confluent has seen it all...
Learn how to build a Java pipeline that consumes clickstream data from Apache Kafka®. Consuming clickstreams is something that many businesses have a use for and it can also be generalized to consuming other types of streaming data.