入門PySpark PythonとJupyterで活用するSpark2エコシステム / 原タイトル:Learning PySpark[本/雑誌] / TomaszDrabas/著 DennyLee/著玉川竜司/訳入門PySpark PythonとJupyterで活用するSpark2エコシステム / 原タイトル:Learning PySpark[本/雑誌] / TomaszDrabas/著 DennyLee/著玉川竜司/訳 - Mogan Shopping(Buy/Bid Japanese Products Online)

入門PySpark PythonとJupyterで活用するSpark2エコシステム / 原タイトル:Learning PySpark[本/雑誌] / TomaszDrabas/著 DennyLee/著玉川竜司/訳

入門PySpark PythonとJupyterで活用するSpark2エコシステム / 原タイトル:Learning PySpark[本/雑誌] / TomaszDrabas/著 DennyLee/著玉川竜司/訳 ( Translation is for reference only )

(Item ID:neowing-r:13489853)

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Real-Time Price3,740.00 YEN
Price3,927.00 YEN31.04 USD785 NTD174.28 RMB35.53 AUD199.34 HKD31.04 EUR35.16 CAD440.20 MXN32.54 SGD831.78 THB237.12 SEK31.04 CHF43.38 NZD31.04 GBP
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ご注文前に必ずご確認ください＜商品説明＞PythonからSparkを利用するための機能、PySparkを使いこなすテクニックとノウハウ。はじめに高速になったSpark2.0の特徴とアーキテクチャを解説し、構造化及び非構造化データの読み取り、PySparkで利用できる基本的なデータ型、MLlibとMLパッケージによる機械学習モデルの構築を説明。GraphFramesを使ったグラフの操作、ストリーミングデータの読み取り、クラウドへのモデルのデプロイなどの方法を豊富なサンプルと一緒に学ぶ。ローカルでのSpark+Python+Jupyter環境の構築方法も紹介。＜収録内容＞1章 Sparkを理解する2章耐障害性分散データセット3章 DataFrame4章データのモデリングの準備5章 MLlib6章 MLパッケージ7章 GraphFrames8章 TensorFrames9章 Blazeによるポリグロットパーシステンス10章 Structured Streaming11章 Sparkアプリケーションのパッケージ化＜商品詳細＞商品番号：NEOBK-2166359TomaszDrabas / Cho DennyLee / Cho Tamagawa Ryuji / Yaku / Nyumon PySpark Python to Jupyter De Katsuyo Suru Spark 2 Ecology System / Original Title: Learning PySparkメディア：本/雑誌重量：540g発売日：2017/11JAN：9784873118185入門PySpark PythonとJupyterで活用するSpark2エコシステム / 原タイトル:Learning PySpark[本/雑誌] / TomaszDrabas/著 DennyLee/著玉川竜司/訳2017/11発売