Apache Flink SQL has a lot in common with SQL databases, but in several fundamental ways it’s actually quite different. Learn how Apache Flink has adapted concepts like queries, materialized views, catalogs, and ACID guarantees from SQL databases to fit into the world of stream processing.

Using Apache Flink watermarks can create havoc when you have a stream that has significant delays between records. In this video we’ll talk about a possible solution to this situation using a batch close record, which will ensure that your data is up to date.

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!

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.

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.

Software Engineer, Bloomberg), Vahid Hashemian (Tech Lead, Pinterest), and Sumedh Sakdeo (Sr. Staff Software Engineer, LinkedIn & Creator of OpenHouse)..

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.

Shift Left is a rethink of how we circulate, share and manage data in our organizations using DataStreams, Change Data Capture, FlinkSQL and Tableflow. It addresses the challenges with multi-hop and medallion architectures using batch pipelines by shifting the data preparation, cleaning and schemas to the point where data is created and as a result, you can build fresh trustworthy datasets as streams for operational use cases or Apache Iceberg tables for analytical use cases.

This is a one-minute video showing an animated architectural diagram of the integration between Amazon DynamoDB and Confluent Cloud using DynamoDB Streams and AWS Lambda. Details of the integration are provided via narration.

This is a one-minute video showing an animated architectural diagram of the integration between Amazon DynamoDB and Confluent Cloud using the all new, fully managed DynamoDB CDC Source connector. This real-time data pipeline doesn’t require you to write or maintain code.