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In this webinar, we’ll show you how to leverage Confluent Cloud and Google Cloud Platform products such as BigQuery to streamline your data in minutes, setting your data in motion.

Learn how Confluent Cluster Linking can seamlessly integrate and share data across these environments in real-time by leveraging your current Confluent/Apache Kafka deployments.

JoinKai Waehner, Field CTO at Confluent, for an insightful dive into the Top Five Real-time Data Use Cases and Architectures that will come to dominate 2022.

This two part series provides an overview of what Kafka is, what it's used for, and the core concepts that enable it to power a highly scalable, available and resilient real-time event streaming platform.

Stream processing is a data processing technology used to collect, store, and manage continuous streams of data as it’s produced or received. Also known as event streaming or complex event processing (CEP), stream processing has grown exponentially in recent years due to its powerful...

Kafka Streams, a scalable stream processing client library in Apache Kafka, defines the processing logic as read-process-write cycles in which all processing state updates and result outputs are captured as log appends.

This webinar presents the decision making framework we use to coach our customers toward the most impactful and lowest cost PoC built on Kafka. The framework considers business impact, technology learning, existing resources, technical backgrounds, and cost to ensure the greatest chance of success.