The Future of Data Streams with Flink and Kafka - Part 2 | Ep. 49

Real-Time Analytics with Tim Berglund

محتوای ارائه شده توسط StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™ یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

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Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! Join us for Part 2 of our conversation between the integration of Flink and Kafka with Curtis Galione (Confluent). Building on last week's discussion, we explore the challenges and innovations at the intersection of these powerful technologies. Curtis shares his thoughts on why Flink remains focused on its core mission despite the evolving demands for data query capabilities, and the dynamic between Kafka's data handling and Flink's processing capabilities. Tune in to gain a better understanding of stream processing and the strategic decisions behind system capabilities in real-time analytics. Remember to use the 30% discount for the Real-Time Analytics Summit: https://stree.ai/rtapod30 (Code: RTAPOD30)
► xkcd that Curtis referenced: https://xkcd.com/1838/
► One SQL to Rule Them All: https://arxiv.org/abs/1905.12133
🎧Check out our new limited series podcast, "Keyboard and Quill, " which explores data and technology through time: https://stree.ai/keyboardandquill

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