November 2017
Intermediate to advanced
328 pages
6h 51m
Japanese
Content preview from 入門 PySpark ―PythonとJupyterで活用するSpark 2エコシステム
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200
10
章
Structured Streaming
10.2
Spark Streaming
の必要性
Tathagata Dasは、Apache Sparkプロジェクトのコミッターであり、プロジェクト管理コミッ
ティー（PMC）のメンバーであるとともに、Spark Streamingのリード開発者でもあります。彼は、
Spark Streaming: What is It and Who's Using it（https://www.datanami.com/2015/11/30/spark-
streaming-what-is-it-and-whos-using-it/）と い う Datanami の記事において、ストリーミングには
ビジネス上のニーズがあると書きました。オンライントランザクションやソーシャルメディアに加え、
センサーやデバイスが普及してきたことによって、企業はこれまで以上のペースでこれまで以上の量の
データを生成し、処理するようになっています。
大規模な環境下で対応した動きを取るための知見をリアルタイムに得られるならば、企業は競争力を
高めることができます。不正取引を検出するためにセンサー異常のリアルタイム検出機能を提供するの
であれ、波及力のある新しいツィートに反応することであれ、データサイエンティストやデータエンジ
ニアの道具の中で、ストリーミングの分析が持つ重要性は増してきています。
Spark Streaming そのものの採用が急速に増えているのは、Apa
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.