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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.
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.
As the world’s population continues to increase, so does the need for new infrastructure, buildings and housing, automatically increasing the demand for tradespeople. Whether it's an electrician, a plumber, or an HVAC technician...
Dive into Flink SQL, a powerful data processing engine that allows you to process and analyze large volumes of data in real time. We’ll cover how Flink SQL relates to the other Flink APIs and showcase some of its built-in functions and operations with syntax examples.
Just under a year ago, Confluent announced the Confluent for Startups program, which provides Confluent Cloud credits to early stage startups trying to get their streaming initiatives off the ground. Since then, we’ve worked with over 150 startups...
In today's rapidly evolving digital age, organizations across various sectors are leveraging technology to provide great customer experiences. One of the most important touchpoints in this journey is the 'Customer Onboarding' process...
Consumers have become increasingly adept at navigating omnichannel brand presence. One minute they’re in the store purchasing a product, and the next they’re online submitting a review. Or they’re buying something via an app while driving to the store to pick it up curbside.