August 2015
Intermediate to advanced
312 pages
7h 28m
Japanese
Content preview from 初めてのSpark
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71
5
データの ードー
本章の中には、エンジニアに役立つ部分もあれば、データサイエンティストに役立つ部分もあり
ます。エンジニアは、想定される下流のデータ利用者に適したものがないか、出力フォーマットを
いろいろ調べてみたいかもしれません。データサイエンティストは、扱う入力データのフォーマッ
トに注目したいことでしょう。
5.1
ードーのの
Spark
でデータをいったん分散させれば、多くの操作をそのデータに対して行えることを見てき
ました。ここまでのサンプルでは、すべてのデータは直接書いたコレクションか、通常のファイル
からロードしたりセーブしたりしてきましたが、データが
1
台のマシンに収まりきらない場合も
あります。そこで、本章ではロードやセーブの選択肢について見ていくことにしましょう。
Spark
は幅広い入出力ソースをサポートしていますが、これは
Hadoop
のために利用可能
なエコシステムの上に
Spark
が構築されているおかげでもあります。特に、
Spark
は
Hadoop
MapReduce
が利用する
InputFormat
と
OutputFormat
インターフェイスを通じてデータにアクセ
スできます。これらのインターフェイスは、広く使われている多くのファイルフォーマットやスト
レージシステムで利用することができます（例えば
S3
、
HDFS
、
Cassandra
、
HBase
など）
†
。「
5.2.6
Hadoop
の入出力フォーマット」のセクションでは、これらのフォーマットを直接使う方法を紹介 ...
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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.