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Your Guide to the Apache Flink Table API: An In-Depth Exploration

Apache Flink offers a variety of APIs that provide users with significant flexibility in processing data streams. Among these, the Table API stands out as one of the most popular options. Its user-friendly design allows developers to express complex data processing logic in a clear and declarative manner, making it particularly appealing for those who want to efficiently manipulate data without getting bogged down in intricate implementation details.

Expanding Confluent's Integration with Microsoft Azure: Create and Manage Confluent Resources Directly from the Azure Portal with Confluent's Fully Managed Connectors (Preview)

We are thrilled to announce yet another milestone in our integration capabilities with Microsoft Azure. Now, you can manage Confluent resources (Preview) directly from the Azure portal. This new capability not only simplifies the setup and management process but also empowers you to leverage the full potential of Confluent's data streaming platform on Azure.

Atomic Tessellator: Revolutionizing Computational Chemistry with Data Streaming

Computational chemistry relies on large volumes of complex data in order to provide insights into new applications, whether it’s for electric vehicles or new battery development. With the emergence of generative AI (GenAI), the rapid, scalable processing of this data has become possible and critical to investigate previously unexplored areas in catalysis and materials science.

Handling the Producer Request: Kafka Producer and Consumer Internals, Part 2

Welcome to the second installment of our blog series to understand the inner workings of the beautiful black box that is Apache Kafka. We’re diving headfirst into Kafka to see how we actually interact with the cluster through producers and consumers. Along the way, we explore the configurations that affect each step of this epic journey and the metrics that we can use to more effectively monitor the process.

Unlocking Real-Time Insights and Making Migrations a Breeze: 13 New Partner Solutions and Offerings Launched

Whether you’re looking to jump-start a new use case, or accelerate your migration journey, collaborating closely with Confluent and our partners enables you to fulfill the increasing need for real-time customer experiences and applications, opening doors to new growth and success opportunities.

Confluent Supercharges Apache Flink Offering with New Developer Tools and Enterprise-Ready Security

Confluent adds Table API support for Apache Flink® making it even easier for developers to use Java or Python to build streaming applications. New private networking and encryption features safeguard data streams for enterprises in highly regulated industries.

Introducing Confluent's OEM Program: Deliver Data Streaming Faster and Unlock Revenue Growth

As real-time experiences become integral to everyday life and data-driven technologies like GenAI drive the next wave of innovation, one thing is clear: real-time data is the key to enterprise growth. The Confluent OEM Program empowers MSPs, CSPs, and ISVs to quickly unlock new revenue streams by integrating the industry-leading data streaming platform into their customer offerings.

New in Confluent Cloud: Making Serverless Flink a Developer's Best Friend, Protecting Sensitive Data, and More

The Q3 Cloud Bundle Launch comes to you from Current 2024, where data streaming industry experts have come together to show you why data streaming is critical today, especially in the age of AI, and how it will become even more important in shaping tomorrow’s businesses. This year’s Current event attracted over 2,500 attendees, both in-person and virtual, and featured 140+ learning sessions by industry experts.

Build, Manage, and Monitor Data Streaming Applications, All Within Your Favorite IDE

Today, we’re excited to announce the Early Access Program for Confluent for VS Code! Confluent has integrated support for Visual Studio with Confluent for VS Code that streamlines workflows, accelerates development cycles, and enhances real-time data processing, all within a unified environment.