How does Flink complement Kafka? | Refcard *update*

Build Stream Processing Apps With Kafka and Flink

Apache Kafka Essentials Build Stream Processing Apps With Kafka and Flink Businesses consider data capabilities crucial to daily operations due to growing demands for high-performance analytics. Enter Apache Kafka: a streaming engine for collecting, caching, and processing high volumes of data in real time. 👉 READ THE REFCARD In this Refcard update, you'll explore Kafka fundamentals supplemented with code snippets for pub/sub and Kafka Connect — plus a detailed walkthrough of using Flink over Kafka Streams, including: Stream processing with Flink: DataStreams and Tables Flink DataStream API and operators State management and fault tolerance in Flink    Download Free Refcard You're receiving this email because you've subscribed to receive updates from DZone.com. Unsubscribe from Marketing Communciations | Manage Other Subscriptions FAQ | Terms of Use | Privacy Policy © 2024 TechnologyAdvice, LLC. All rights reserved. DZone is a TechnologyAdvice media brand. This is a marketing email from TechnologyAdvice, 3343 Perimeter Hill Dr., Suite 100, Nashville, TN 37211, USA. Please do not reply to this message. To contact us, please click here.