Anhang A. Referenzen für Teil I

  • [Armbrust2018] Armbrust, M., T. Das, J. Torres, B. Yavuz, S. Zhu, R. Xin, A. Ghodsi, I. Stoica, und M. Zaharia. "Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark", 27. Mai 2018. https://stanford.io/2Jia3iY.

  • [Bhartia2016] Bhartia, R. "Optimize Spark-Streaming to Efficiently Process Amazon Kinesis Streams," AWS Big Data blog, February 26, 2016. https://amzn.to/2E7I69h.

  • [Chambers2018] Chambers, B., und Zaharia, M., Spark: The Definitive Guide. O'Reilly, 2018.

  • [Chintapalli2015] Chintapalli, S., D. Dagit, B. Evans, R. Farivar, T. Graves, M. Holderbaugh, Z. Liu, K. Musbaum, K. Patil, B. Peng, und P. Poulosky. "Benchmarking von Streaming Computation Engines bei Yahoo!" Yahoo! Engineering, 18. Dezember 2015. http://bit.ly/2bhgMJd.

  • [Das2013] Das, Tathagata. "Deep Dive With Spark Streaming", Spark Meetup, 17. Juni 2013. http://bit.ly/2Q8Xzem.

  • [Das2014] Das, Tathagata, und Yuan Zhong. "Adaptive Stream Processing Using Dynamic Batch Sizing", 2014 ACM Symposium on Cloud Computing. http://bit.ly/2WTOuby.

  • [Das2015] Das, Tathagata. "Verbesserte Fehlertoleranz und kein Datenverlust in Spark Streaming", Databricks Engineering Blog. January 15, 2015. http://bit.ly/2HqH614.

  • [Dean2004] Dean, Jeff, und Sanjay Ghemawat. "MapReduce: Simplified Data Processing on Large Clusters", OSDI San Francisco, Dezember 2004. http://bit.ly/15LeQej.

  • [Doley1987] Doley, D., C. Dwork, und L. Stockmeyer. "On the Minimal Synchronism Needed ...

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