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Diving Deep into Apache Flink with Robert Metzger | Ep. 14
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Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! In part two of the "Real-Time Analytics" podcast, Robert Metzger, the PMC chair of Apache Flink, elaborates on using Flink as a developer. Metzger discusses the spectrum of APIs in Flink, ranging from expressive APIs to easy-to-use APIs. He mentions the process function, a low-level, flexible API that exposes basic building blocks of Flink, such as real-time events, state, and event time. Metzger also speaks about the windowing API of Flink and the Async I/O operator. He further details how Flink users can work with a combination of SQL and Java code in the data stream API. You won't want to miss this episode!
Flink Deployments At Decodable: https://www.decodable.co/blog/flink-deployments-at-decodable
3 Reasons Why You Need Apache Flink for Stream Processing: https://thenewstack.io/3-reasons-why-you-need-apache-flink-for-stream-processing/#:~:text=For%20example%2C%20Uber%20uses%20Flink,streaming%20data%20at%20massive%20scale.
60 episoder
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on August 12, 2024 16:48 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 370912411 series 3463469
Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! In part two of the "Real-Time Analytics" podcast, Robert Metzger, the PMC chair of Apache Flink, elaborates on using Flink as a developer. Metzger discusses the spectrum of APIs in Flink, ranging from expressive APIs to easy-to-use APIs. He mentions the process function, a low-level, flexible API that exposes basic building blocks of Flink, such as real-time events, state, and event time. Metzger also speaks about the windowing API of Flink and the Async I/O operator. He further details how Flink users can work with a combination of SQL and Java code in the data stream API. You won't want to miss this episode!
Flink Deployments At Decodable: https://www.decodable.co/blog/flink-deployments-at-decodable
3 Reasons Why You Need Apache Flink for Stream Processing: https://thenewstack.io/3-reasons-why-you-need-apache-flink-for-stream-processing/#:~:text=For%20example%2C%20Uber%20uses%20Flink,streaming%20data%20at%20massive%20scale.
60 episoder
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