Learnings from High-Volume Data Streaming with Apache Kafka and Apache Flink
StreamNative via YouTube
Overview
Explore key insights from a 25-minute technical talk that examines the practical experiences of operating Apache Flink with Apache Kafka in high-volume data streaming environments. Gain valuable knowledge about the integration of these powerful technologies, focusing on their synergistic relationship in handling real-time analytics and data pipeline management. Discover essential monitoring and alerting strategies that ensure optimal system performance and rapid problem resolution. Master best practices for large-scale data ingestion, including effective Kafka partitioning strategies and Flink state management optimization techniques. Learn how these technologies excel across various industries including finance, e-commerce, and IoT, demonstrating their capability to process extensive data streams with high throughput and low latency. Walk away with practical knowledge on leveraging these leading technologies efficiently in demanding, high-volume data environments.
Syllabus
Learnings from running high-volume data streaming with Kafka & Flink
Taught by
StreamNative