Confluent Blog

RAG must be implemented in a way that provides accurate and up-to-date information and in a governed manner that can be scaled across apps and teams.

Confluent is thrilled to be named Microsoft’s 2024 OSS on Azure Global Partner of the Year. As a three-time Partner of the Year award winner, this recognition reflects our commitment to delivering outstanding open source-based applications and infrastructure solutions on Microsoft Azure.

Discuss how to use OpenSearch Ingestion to integrate Confluent with Amazon OpenSearch.

As cyberattacks grow more sophisticated, data streaming supports the ability to monitor and analyze real-time events across all systems.

In the dynamic landscape of conversational AI, the fusion of Amazon Bedrock and Confluent Cloud offers a groundbreaking solution for businesses seeking to create scalable and perpetually evolving generative AI (GenAI) chatbots. This collaboration ensures real-time data freshness, intelligent con...

Learn why data at rest sometimes needs to be transformed into a stream of data, and learn how to turn a REST API into a data stream using Apache Flink and Apache Kafka. Along the way, you’ll also find out the advantages of having your REST API data in streaming format.

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

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

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.

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

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.

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

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...