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.

Watermark alignment is a relatively new feature in Apache Flink. It lets you cope with the problem of needing to temporally join streams with mismatched event frequencies, e.g., one stream’s updates are much more frequent than those of the stream(s) with which you need to join it. In this video we’ll break the feature down, and relate how it can help you better manage your Apache Flink integration.

A Data Streaming Platform (DSP) is composed of six major inter-related components, covered in detail in this video. Each component has evolved over time to servce specific needs in the data streaming platform, but together form a whole that is greater than its sum.

Connect ERP data from SAP S/4HANA and ECC with any cloud or on-prem system to power real-time applications and analytics with Confluent's fully managed data streaming platform directly integrated with SAP Datasphere.

In this video, Confluent and AWS address enterprises' challenges in deploying generative AI and how Confluent Cloud and Amazon Bedrock empower organizations to build scalable, AI-enabled applications. We'll explore how Confluent's comprehensive data streaming platform enables you to stream, connect, and govern data at scale, creating real-time, contextualized, and trustworthy applications that differentiate generative AI.

Transitioning to a set of microservices can seem daunting. This video breaks down how the Designing Event-Driven Microservices course can help you navigate that journey.

This video covers setting an idle timeout on a watermark generator when joining data in Apache Flink. This can be used when you have two streams, one that has frequent updates, and one that has infrequent updates, and you need to join data without waiting for a fresh watermark from the infrequent one.