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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258
付録
B
無料で利用できるクラウド上の
Spark
タエンジニアやデータサイエンティスト向けに設計された幅広い機能を提供しています。
B.1.1
ノートブックとダッシュボード
Databricksはデータサイエンティストとデータエンジニアが共同で作業を行えるインタラクティブな
作業環境を提供しています。この統合環境では、1つのノートブック内で Python、Scala、R、SQL、
Markdownを扱えます。Databricks notebookは独自にネイティブのビジュアライゼーションの機能を
持っていますが、それに加えて広く利用されている matplotlib、ggplot、D3といったビジュアライゼーショ
ンライブラリも利用できます（次のスクリーンショットは Databricks notebookの 円 グ ラ フ で す ）。
また、同じ統合環境の中で複数人が同じノートブック、コメント上で共同作業を行ったり、リビジョ
ンの履歴を追跡したり（GitHubとも統合できます）、オートコンプリートを利用したりすることができ
ます。
B.1
Databricks Community Edition
259
Databricks notebookではデバッグがしやすくなるよう、Apache Spark ...
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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.