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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7
章
GraphFrames
125
7
章
GraphFrames
グラフ構造は多彩なデータの問題を直感的にアプローチできるデータ構造なので、グラフはデータの
問題を解決する上で興味深いものです。
本章で学ぶことは次のとおりです。
●
グラフを使う理由
●
クラシックなグラフの問題：フライトデータセット
●
グラフの頂点と辺
●
シンプルなクエリ
●
モチーフ探索
●
幅優先検索
●
ページランク
●
D3によるフライトの可視化
ソーシャルネットワークのトラバースであれ、レストランのレコメンデーションであれ、それらのデー
タの問題は頂点や辺、属性といったグラフ構造という観点から見ると理解しやすくなります。
126
7
章
GraphFrames
料理の種類：
ラーメン
ソーシャルネットワーク レストランのレコメンデーション
たとえば、ソーシャルネットワークの場合であれば、頂点は人で、辺は人と人とのつながりになりま
す。レストランのレコメンデーションの場合であれば頂点は（たとえば）場所、料理の種類、レストラ
ン等になり、辺はそれらの間のつながり（たとえば図の 3つのレストランは Vancouver, BCにあります
が、ラーメンを提供しているのはそのうちの 2つだけです）になります。
この 2つのグラフにはつながりなどなさそう ...
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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.
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.