August 2026
Intermediate to advanced
552 pages
8h 9m
Japanese
Content preview from Google CloudではじめるAI/ML入門 ―ハンズオンで学ぶデータ基盤、分析、エージェント開発
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2章Google Cloudにおけるデータサイエンス
2.1 はじめに
本章の内容を学習することで、クラウドコンピューティングの基本概念とメリット、デメリットを理解し、Google Cloudならではのデータサイエンスを効率的に進める勘所を養うことができます。
- この章の内容
- クラウドコンピューティングの基本概念とメリット、デメリットの理解
- XaaSやデプロイメント戦略など主要なクラウド用語の把握
- Google Cloudの構成要素と特徴の整理
- Gemini Enterprise Agent Platform（旧称：Vertex AI Platform、以下Agent Platform）やBigQueryなど主要なデータサイエンス関連サービスの確認
Google Cloudでデータサイエンスを始めるにあたり、まずはクラウドコンピューティングの基本概念やその利点、課題について理解することが重要です。本節の目的は、クラウドコンピューティングとは何か、オンプレミス環境と比較した際のメリット、デメリットについて解説することです。また、Google Cloud独自の主要サービスを紹介し、これからの学習の土台を作ります。
2.2 クラウドコンピューティングとは
クラウドコンピューティングは、インターネットを通じてサーバーやストレージ、データベースなどのITインフラをオンデマンドで提供するサービスです。物理的なインフラを自社で所有、管理する必要がないため、必要なリソースを柔軟に利用できます。
最大のメリットは初期投資コストの低さと導入の迅速さです。従量課金制のため初期費用がほとんどかからず、簡単に環境を構築できます。オンプレミス環境との比較は表2-1の通りです。
表2-1 オンプレミスとクラウドコンピューティングの比較 ...
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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.