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.
Today, with Confluent, enterprises can stream data across hybrid and multicloud environments to Amazon Redshift, powering real-time analysis while reducing total cost of ownership and time to value.
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