Confluent Blog

Classic punch cards (and fishing for them in your wallet or occasionally misplacing one) have become a thing of the past, as today's digital landscape demands more innovative solutions.

Build with Confluent helps system integrators develop joint solutions faster, including specialized software bundles, support from data streaming experts to certify offerings, and access to Confluent’s Go-To-Market (GTM) teams to amplify their offering in the market.

Let’s learn more about Jennifer, how she thrives on solving complex people, process, and technology challenges—and how Confluent provides the support and motivation she needs to excel at her role.

Part two in the series on using FlinkSQL, Kafka, and Streamlit dives into async.io, FlinkSQL syntax, and Streamlit barchart component structure.

In the past, technology served as a supportive function for business. Over time, it has become the business itself. A similar shift is happening with data streaming—data streaming is now a critical foundation of modern business. And this year is an inflection point for data streaming platforms

Businesses that are best able to leverage data have a significant competitive advantage. This is especially true in financial services, an industry in which leading organizations are in constant competition to develop the most responsive, personalized customer experiences.

As government agencies work to improve both customer experience and operational efficiency, two tools have become critical: cloud services and data. Confluent and Amazon Web Services (AWS) have collaborated to make the move to and management of cloud easier

In part 1 of this series, we’ll make an app, powered by Kafka and FlinkSQL in Confluent Cloud and visualized with Streamlit, that allows a user to select a stock, in this case SPY, or the SPDR S&P 500 ETF Trust. Upon selection, a live chart of the stock’s bid prices, calculated every five seconds...

If you know me, you know that I’m always looking for any excuse to bring the data streaming community together.

Find out how Zhibo handles tricky conversations with customers who aren’t quite sure what data problems they have and how Confluent can help.

The post discusses the Dual-Write Problem in distributed systems, where atomic updates across multiple systems like databases and messaging systems (e.g., Apache Kafka) are challenging, leading to potential inconsistencies. It outlines common anti-patterns that fail to address the issue...

The Data Streaming Awards is back for its third year! Designed to bring the data streaming community together, this one-of-a-kind industry award event recognizes organizations that are harnessing the power of this revolutionary technology to drive business and customer experience transformation.

The blog post delves into best practices and recommendations for utilizing the Confluent Terraform Provider. It offers insights on efficiently provisioning resources within Confluent Cloud infrastructure while ensuring adherence to industry standards. Additionally, it provides a GitHub repository...