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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本書の内容
ix
はじめに
2013 年の時点では、全 世界で 4.4 ゼタバイトのデータが生み出されていると推定されていました。す
なわち、440 万テラバイトです！ 2020 年までには、私たちは（人類全体として）その 10 倍のデータを
生み出すものと考えられています。文字通り1 秒ごとに大きくなっていくデータと、その様子を把握し
たいという要求が高まっていることを踏まえ、2004 年にGoogleの社員である Jeffrey DeanとSanjay
Ghemawat は先駆的な論文となった MapReduce: Simplified Data Processing on Large Clustersを発
表しました。それ以来、その概念を活用する技術はきわめて急速に発展し、まずは Apache Hadoopが
最も広く使われるようになりました。最終的には、Hadoop はPig、Hive、Mahoutといった抽象化レイ
ヤーを含む Hadoop エコシステムを作り出しました。これらはすべて、シンプルな mapとreduceという
概念を活用するものです。
しかしながら、日々ペタバイトに及ぶデータを処理することができるとはいえ、MapReduceはきわ
めて制約の強いプログラミングフレームワークです。また、ほとんどのタスクにおいてディスクの読
み書きが必要になります。こうした欠点を理解した Matei Zahariaは、2009 年に博士号の研究の一部
として Sparkに取り組み始めました。
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.