May 2025
Intermediate to advanced
452 pages
6h 3m
Japanese
Content preview from Apache Spark によるストリーム処理
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付録A. 第1部の参考文献
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[Armbrust2018]Armbrust, M., T. Das, J. Torres, B. Yavuz, S. Zhu, R. Xin, A. Ghodsi, I. Stoica, and M. Zaharia.「構造化ストリーミング：A Declarative API for Real-Time Applications in Apache Spark」2018年5月27日。https://stanford.io/2Jia3iY。
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[Bhartia2016]Bhartia, R. "Optimize Spark-Streaming to Efficiently Process Amazon Kinesis Streams," AWS Big Data blog, February 26, 2016.https://amzn.to/2E7I69h.
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[Chambers2018]Chambers, B., and Zaharia, M.,Spark：The Definitive Guide.O'Reilly, 2018.
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[Chintapalli2015]Chintapalli, S., D. Dagit, B. Evans, R. Farivar, T. Graves, M. Holderbaugh, Z. Liu, K. Musbaum, K. Patil, B. Peng, and P. Poulosky."ヤフーにおけるストリーミング計算エンジンのベンチマーク"Yahoo! Engineering, December 18, 2015.http://bit.ly/2bhgMJd.
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[Das2013]Das, Tathagata."Deep Dive With Spark Streaming," Spark meetup, June 17, 2013.http://bit.ly/2Q8Xzem.
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[Das2014]Das, Tathagata, and Yuan Zhong."Adaptive Stream Processing Using Dynamic Batch Sizing," 2014 ACM Symposium on Cloud Computing.http://bit.ly/2WTOuby.
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[Das2015]Das, Tathagata."Improved Fault Tolerance and Zero Data Loss in Spark Streaming," Databricks Engineering blog.2015年1月15日。http://bit.ly/2HqH614。
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[Dean2004]Dean, Jeff, and Sanjay Ghemawat.「MapReduce：Simplified Data Processing on Large Clusters", OSDI San Francisco, December, 2004.http://bit.ly/15LeQej.
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[Doley1987]Doley, D., C. Dwork, and L. Stockmeyer."On the Minimal Synchronism Needed for Distributed Consensus,"Journal of the ACM34(1) (1987)：77-97.http://bit.ly/2LHRy9K.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.