Apache Spark (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Apache Spark" in English language version.

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apache.org

spark.apache.org

  • "Spark Release 2.0.0". MLlib in R: SparkR now offers MLlib APIs [..] Python: PySpark now offers many more MLlib algorithms"
  • "Spark 2.2.0 Quick Start". apache.org. 2017-07-11. Retrieved 2017-10-19. we highly recommend you to switch to use Dataset, which has better performance than RDD
  • "Spark 2.2.0 deprecation list". apache.org. 2017-07-11. Retrieved 2017-10-10.
  • "Cluster Mode Overview - Spark 2.4.0 Documentation - Cluster Manager Types". apache.org. Apache Foundation. 2019-07-09. Retrieved 2019-07-09.
  • "Spark Release 1.3.0 | Apache Spark".
  • "MLlib | Apache Spark". spark.apache.org. Retrieved 2016-01-18.
  • "Spark 2.4.8 released". spark.apache.org. Archived from the original on 2021-08-25.
  • "Spark 3.0.3 released". spark.apache.org.
  • "Spark 3.1.3 released". spark.apache.org. Archived from the original on 2022-06-18.
  • "Spark 3.2.4 released". spark.apache.org.
  • "Spark 3.3.3 released". spark.apache.org.
  • "Spark 3.4.3 released". spark.apache.org.
  • "Spark 3.5.2 released". spark.apache.org.
  • "Versioning policy". spark.apache.org.

blogs.apache.org

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arxiv.org

berkeley.edu

amplab.cs.berkeley.edu

books.google.com

  • Malak, Michael (1 July 2016). Spark GraphX in Action. Manning. p. 89. ISBN 9781617292521. Pregel and its little sibling aggregateMessages() are the cornerstones of graph processing in GraphX. ... algorithms that require more flexibility for the terminating condition have to be implemented using aggregateMessages()

cloudera.com

blog.cloudera.com

computerweekly.com

databricks.com

doi.org

  • Wang, Yandong; Goldstone, Robin; Yu, Weikuan; Wang, Teng (May 2014). "Characterization and Optimization of Memory-Resident MapReduce on HPC Systems". 2014 IEEE 28th International Parallel and Distributed Processing Symposium. IEEE. pp. 799–808. doi:10.1109/IPDPS.2014.87. ISBN 978-1-4799-3800-1. S2CID 11157612.
  • Chintapalli, Sanket; Dagit, Derek; Evans, Bobby; Farivar, Reza; Graves, Thomas; Holderbaugh, Mark; Liu, Zhuo; Nusbaum, Kyle; Patil, Kishorkumar; Peng, Boyang Jerry; Poulosky, Paul (May 2016). "Benchmarking Streaming Computation Engines: Storm, Flink and Spark Streaming". 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE. pp. 1789–1792. doi:10.1109/IPDPSW.2016.138. ISBN 978-1-5090-3682-0. S2CID 2180634.

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safaribooksonline.com

techbus.safaribooksonline.com

  • Chambers, Bill (2017-08-10). "12". Spark: The Definitive Guide. O'Reilly Media. virtually all Spark code you run, where DataFrames or Datasets, compiles down to an RDD[permanent dead link]

semanticscholar.org

api.semanticscholar.org

  • Wang, Yandong; Goldstone, Robin; Yu, Weikuan; Wang, Teng (May 2014). "Characterization and Optimization of Memory-Resident MapReduce on HPC Systems". 2014 IEEE 28th International Parallel and Distributed Processing Symposium. IEEE. pp. 799–808. doi:10.1109/IPDPS.2014.87. ISBN 978-1-4799-3800-1. S2CID 11157612.
  • Chintapalli, Sanket; Dagit, Derek; Evans, Bobby; Farivar, Reza; Graves, Thomas; Holderbaugh, Mark; Liu, Zhuo; Nusbaum, Kyle; Patil, Kishorkumar; Peng, Boyang Jerry; Poulosky, Paul (May 2016). "Benchmarking Streaming Computation Engines: Storm, Flink and Spark Streaming". 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE. pp. 1789–1792. doi:10.1109/IPDPSW.2016.138. ISBN 978-1-5090-3682-0. S2CID 2180634.

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