Confluent Blog

Real-time data streaming necessitates a new way to think about modern data system design. In the keynote at Kafka Summit London 2022, Confluent CEO Jay Kreps described five principles of

It is no exaggeration that a lot is going wrong in commercial buildings today. The building and construction sector consumes 36% of global final energy and accounts for almost 40%

Today, enterprise technology is entering a watershed moment, businesses are moving to end-to-end automation, which requires integrating data from different sources and destinations in real time. Every industry from Internet

A common challenge organizations face is how to extract, transform, and load (ETL) Salesforce data into a data warehouse, so that the business can use the data. Salesforce (SFDC) is

A data pipeline is a method for getting data from one system to another, whether for analytics purposes or for storage. Learning the elements that make up this proven architecture

Collecting and indexing logs from servers, applications, and devices enables crucial visibility into running systems. A log analytics pipeline allows teams to debug and troubleshoot issues, track historical trends, or

How do you continuously process half a terabyte of data in real time? That’s the exact question we had to answer. Leadnomics is a digital marketing company that helps companies

Machine learning on real-time data is a powerful combination because you gain direct insights into your data, can make powerful decisions, and consequently improve your business processes and outcomes. It

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

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