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He leads technical infrastructure’s internal data processing teams in Seattle (MillWheel & Flume), is a founding member of the Apache Beam PMC, and has spent the last seven years working on massive-scale data processing systems. Though deeply passionate and vocal about the capabilities and importance of stream processing, he is also a firm believer in batch and streaming as two sides of the same coin, with the real endgame for data processing systems the seamless merging between the two.
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Tyler Akidau, Paul Barbier, Istvan Cseri, Fabian Hueske, Tyler Jones, Sasha Lionheart,Daniel Mills, Dzmitry Pauliukevich,Lukas Probst, Niklas Semmler,Dan Sotolongo, Boyuan Zhang
Proc. ACM Manag. Datano. 2 (2023): 196:1-196:27
Tyler Akidau,Edmon Begoli, Slava Chernyak,Fabian Hueske, Kathryn Knight,Kenneth Knowles,Daniel Mills,Dan Sotolongo
MOD (2019): 1757-1772
Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems (2019)
user-5e9d449e4c775e765d44d7c9(2015)
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