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Kafka

How to source data from AWS DynamoDB to Confluent using the Open-Source Connector

This is a one-minute video showing an animated architectural diagram of an integration between Amazon DynamoDB and Confluent Cloud using an open-source Kafka connector. The integration allows you to avoid maintaining custom code, and gives you the ability to automatically discover and adapt to changes in DynamoDB tables. All details are provided.

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.

How to source data from AWS DynamoDB to Confluent using Kinesis Data Streams and Connect

This is a one-minute video showing an animated architectural diagram of an integration between Amazon DynamoDB and Confluent Cloud using Kinesis Data Streams and the Kinesis Data Streams connector. It’s a fully managed and serverless solution that reduces operational complexity and leverages scalability and cost-effectiveness.

Current 2024 Keynote Day 1 - Data Streaming in the Age of AI

Get ready to dive into the future of data! Jay Kreps and Confluent's top minds are set to reveal the next game-changing evolution of data infrastructure that effectively leverages AI and ubiquitous automation. Discover how leaders in professional services, media, and automotive industries are harnessing the power of Confluent's Data Streaming Platform and Data Products to revolutionize their operations. This is your chance to see how real-time data is driving innovation, transforming decisions, and propelling businesses into the future. The future is here—let's ignite it together!

Current 2024 Day 2 Keynote - The Rise of Data Streaming Engineers

What does the rise of data streaming mean for software and data professionals? A once-in-a-generation paradigm shift is giving rise to a brand new role: the Data Streaming Engineer. Come hear from your fellow technologists how this new role is bringing together the work of application developers, data engineers, data scientists, and architects, and how it might describe the work you're already doing. Along the way, we'll get a survey of the current state of the technologies underlying the emerging Data Streaming Platform, and how you can prepare to use them in the coming year.

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.

The Confluent Q3 '24 Launch

The Confluent Q3 ’24 Launch is packed with the new features and tools needed to make stream processing a developer’s best friend. We’re also introducing Client-Side Field Level Encryption, WarpStream, and more! Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.