May 2025
Intermediate to advanced
452 pages
6h 3m
Japanese
Content preview from Apache Spark によるストリーム処理
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序文
Apache Sparkによるストリーム処理へようこそ！
2009年にカリフォルニア大学バークレー校のマテイ・ザハリアによってApache Sparkプロジェクトが開始されて以来、Apache SparkとApache Sparkによるストリーム処理の両方がどれほど進歩したかを見るのは、非常にエキサイティングなことだ。Apache Sparkは、ビッグデータ処理のための最初の統一エンジンとしてスタートし、あらゆるビッグデータのデファクトスタンダードに成長した。
Apache Sparkによるストリーム処理は、ストリーム処理エンジンとしてのApache Sparkの概念、ツール、機能を紹介する優れた入門書である。本書ではまず、最新の分散処理を理解するために必要なSparkのコア概念を紹介する。次に、さまざまなストリーム処理アーキテクチャと、そのアーキテクチャ間の基本的なトレードオフを探る。最後に、Apache SparkのStructured Streamingが分散ストリーミング・アプリケーションの実装を容易にすることを説明する。さらに、レガシー・コネクタを使ったストリーミング・アプリケーションを構築するための、旧来のSpark Streaming（別名、DStream）APIも取り上げる。
本書は、Apache Sparkを使ったストリーミング・アプリケーションの構築と演算子をマスターするために必要な知識をすべて網羅している！どのようなアプリケーションを構築するのか、楽しみにしている！
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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.