January 2020
Beginner to intermediate
728 pages
10h 26m
Japanese
Content preview from データサイエンス設計マニュアル
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358 12 章 ビッグデータ：スケールを追求
理解することは大切である。その規模のデータを操作するプロジェクトで戦力になるためには、そのような
理解が欠かせない。
12.1 ビッグデータとは
どれくらい大きければ「ビッグ」なのだろうか。どんな数字を示しても書いた途端に時代遅れになってし
まう
だろうが、たまたま見かけた 2016 年の統計（主に https://www.internetlivestats.com/）によれ
ば、「ビッグ」とは次のような数字である。
• Twitter：毎日 6 億ツイート
• Facebook：16 億人のアクティブユーザから毎日 600 TB のデータ
• Google：毎日 35 億の検索要求
• Instagram：毎日 5200 万枚の新しい写真
• Apple：全部で 1300 億件のアプリダウンロード
• Netflix：毎日 1 億 2500 万時間分のテレビ、映画のストリーミング
• メール：毎日 2050 億件のメッセージ
サイズは重要だ。これだけのデータがあれば、すばらしいことができる。しかし、ほかにも大切なも
のはある。この節では、ビッグデータの処理についての技術的概念的な複雑さについて考えてみたい。
今後の課題
一般に
、ビッグデータは少数の列（特徴）を持つ膨大な数の行（レコード）から構成されている。
つまり、ビッグデータは、与えられた問題に正確に合う 1 つのモデルを作るためには大げさすぎ
る。一般に、ビッグデータの価値を感じるのは、個々のユーザ専用のカスタムモデルを ...
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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.