Apache Spark (Japanese Wikipedia)

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

refsWebsite

Global rank Japanese rank

2usenix.org

5,990^th place

low place

2books.google.com

3^rd place

61^st place

2apache.org

3,206^th place

3,055^th place

1nikkeibp.co.jp

1,415^th place

95^th place

1gigaom.com

3,829^th place

low place

1berkeley.edu

580^th place

1,954^th place

1mapr.com

low place

1github.com

383^rd place

521^st place

1sigmoid.com

low place

1slideshare.net

2,161^st place

4,959^th place

apache.org

spark.apache.org

“Spark Release 2.4.0”. 2018年12月27日閲覧。

mail-archives.apache.org

Doan, DuyHai (10 September 2014). "Re: cassandra + spark / pyspark". Cassandra User (Mailing list). 2014年11月21日閲覧。

berkeley.edu

amplab.cs.berkeley.edu

Figure showing Spark in relation to other open-source Software projects including Hadoop

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()"
Malak, Michael (1 July 2016). Spark GraphX in Action. Manning. p. 9. ISBN 9781617292521. "Giraph is limited to slow Hadoop Map/Reduce"

gigaom.com

Harris, Derrick (28 June 2014). “4 reasons why Spark could jolt Hadoop into hyperdrive”. 2017年10月17日閲覧。

github.com

https://github.com/dfdx/Spark.jl

mapr.com

doc.mapr.com

MapR ecosystem support matrix

nikkeibp.co.jp

corporate.nikkeibp.co.jp

日経BP社、「ITインフラテクノロジーAWARD 2015」を発表。グランプリに「Docker」、準グランプリに「Apache Spark」

sigmoid.com

“Getting Data into Spark Streaming”. sigmoid.com. Sigmoid (Sunnyvale, California IT product company) (17 March 2015). 7 July 2016閲覧。

slideshare.net

“Finding Graph Isomorphisms In GraphX And GraphFrames: Graph Processing vs. Graph Database”. slideshare.net. sparksummit.org (14 June 2016). 11 July 2016閲覧。

usenix.org

Zaharia, Matei; Chowdhury, Mosharaf; Das, Tathagata; Dave, Ankur; Ma,, Justin; McCauley, Murphy; J., Michael; Shenker, Scott; Stoica, Ion. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing (PDF). USENIX Symp. Networked Systems Design and Implementation.
Gonzalez, Joseph; Xin, Reynold; Dave, Ankur; Crankshaw, Daniel; Franklin, Michael; Stoica, Ion (Oct 2014). GraphX: Graph Processing in a Distributed Dataflow Framework.