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Navigating Event Streaming with Eric Sammer, Decodable's CEO | Ep. 17
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Manage episode 372842802 series 3463469
Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! In this episode of the Real-Time Analytics podcast, host Tim Berglund welcomes Eric Sammer, Founder and CEO of Decodable. Eric, an industry leader in event streaming technology, discusses the company's focus on stream processing, real-time data processing, and integration with systems like Apache Pinot and StarTree. The conversation delves into the challenges and complexities of managing data, from data cleansing to structuring for different use cases. They explore the ideal balance between generalized and specialized systems, emphasizing the importance of flexibility. Ultimately, they highlight how stream processing serves as an effective solution to adjust and distribute data intelligently, providing an essential abstraction point.
60 episodes
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on May 20, 2024 08:18 ()
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 372842802 series 3463469
Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! In this episode of the Real-Time Analytics podcast, host Tim Berglund welcomes Eric Sammer, Founder and CEO of Decodable. Eric, an industry leader in event streaming technology, discusses the company's focus on stream processing, real-time data processing, and integration with systems like Apache Pinot and StarTree. The conversation delves into the challenges and complexities of managing data, from data cleansing to structuring for different use cases. They explore the ideal balance between generalized and specialized systems, emphasizing the importance of flexibility. Ultimately, they highlight how stream processing serves as an effective solution to adjust and distribute data intelligently, providing an essential abstraction point.
60 episodes
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