Technology

It’s about maintaining the right data even when no one is watching. Last year, Confluent announced support for Infinite Storage, which fundamentally changes data retention in Apache Kafka® by allowing […]

Multi-tenancy brings cost-efficiency to infrastructure, and when done correctly, creates an economy of scale. Done incorrectly and you degrade the user experience and create maintenance nightmares for operators. This is […]

Data is at the center of our world today, especially with the ever-increasing amount of machine-generated log data collected from applications, devices, and sensors from almost every modern technology. The […]

At Confluent, we focus on the holy trinity of performance, price, and availability, with the goal of delivering a similar performance envelope for all workloads across all supported cloud providers. […]

Serverless offerings in the cloud are a favorite among software engineers—a prime example are object stores such as AWS S3. For the system designer, however, it is an engineering challenge […]

Twenty years ago, the data warehouses of choice were Oracle and Teradata. Since then, growth and innovation has shifted to the cloud, and a new generation of data systems have […]

We’re pleased to announce ksqlDB 0.19.0! This release includes a new NULLIF function and a major upgrade to ksqlDB’s data modeling capabilities—foreign-key joins. We’re excited to share this highly requested […]

Data is the lifeblood of so much of what we build as software professionals, so it’s unsurprising that operations involving its transfer occupy the vast majority of developer time across […]

In Data Science projects, we distinguish between descriptive analytics and statistical models running in production. Overall, these can be seen as one process. You start with analyzing historical data to […]

Companies adopt streaming data and Apache Kafka® because it provides them with real-time information about their business and customers. In practice, the challenge is that this information is spread across […]

Making changes to a database schema is a natural part of software development. Often, it’s important to carefully manage the timing of changes and keep track of them over time. […]

Al data til folket (all data to the people) is a compelling proposition in an enterprise context. Yet the ability to quickly address integration challenges and deliver data to those […]

To the developer or architect seeking to provide their business with as much value as possible, what is the best way to start working with data in motion? Choosing Apache […]

Stream processing has become an important part of the big data landscape, a new programming paradigm bringing asynchronous, long-lived computations to unbounded data in motion. But many people still think […]