Unlocking the Power of Apache Flink: An Introduction in 4 Acts

Today's consumers have come to expect timely and accurate information from the companies they do business with. Whether it's being alerted that someone just used your credit card to rent a car in Prague, or checking on the balance of your mobile data plan, it's not good enough to learn about yesterday's information today. We all expect the companies managing our data to be able to provide fully up-to-the-moment reporting.
Apache Flink is a battle-hardened stream processor widely used for demanding applications like these. Its performance and robustness are the result of a handful of core design principles: a shared-nothing architecture with local state, event-time processing, and state snapshots (for recovery). During this talk, we'll bring these principles to life with real-world examples and demos.
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Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion - designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.
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[@faysalahmedsiddiqui]

As always, awsome explanation David

[@rkalyankumar]

Thank you. It gives me a mental model about Apache flink.