Irritate 发表于 2025-3-26 22:22:01

http://reply.papertrans.cn/19/1857/185626/185626_31.png

表脸 发表于 2025-3-27 02:52:30

https://doi.org/10.1007/978-94-009-1179-6Armbrust, Michael, Reynold S. Xin, Cheng Lian, Yin Huai, Davies Liu, Joseph K. Bradley, Xiangrui Meng, Tomer Kaftan, Michael J. Franklin, Ali Ghodsi, Matei Zaharia. .. ..

悲观 发表于 2025-3-27 07:17:45

http://reply.papertrans.cn/19/1857/185626/185626_33.png

irreparable 发表于 2025-3-27 11:34:49

http://reply.papertrans.cn/19/1857/185626/185626_34.png

aquatic 发表于 2025-3-27 15:12:58

Writing a Spark Application,This chapter discusses how to write a data processing application in Scala using Spark. . covered the basics of Scala, which you need to know to get started.

清洗 发表于 2025-3-27 20:38:48

Spark SQL,Ease of use is one of the reasons Spark became popular. It provides a simpler programming model than Hadoop MapReduce for processing big data. However, the number of people who are fluent in the languages supported by the Spark core API is a lot smaller than the number of people who know the venerable SQL.

dapper 发表于 2025-3-28 00:20:09

Graph Processing with Spark,Data is generally stored and processed as a collection of records or rows. It is represented as a two-dimensional table with data divided into rows and columns. However, collections or tables are not the only way to represent data. Sometimes, a graph provides a better representation of data than a collection.

流出 发表于 2025-3-28 03:05:18

http://reply.papertrans.cn/19/1857/185626/185626_38.png

向宇宙 发表于 2025-3-28 06:25:13

http://reply.papertrans.cn/19/1857/185626/185626_39.png

guzzle 发表于 2025-3-28 12:00:12

http://reply.papertrans.cn/19/1857/185626/185626_40.png
页: 1 2 3 [4] 5 6
查看完整版本: Titlebook: Big Data Analytics with Spark; A Practitioner‘s Gui Mohammed Guller Book 2015 Mohammed Guller 2015 Big Data.Spark.Hive.Avro.Kafka.databases