分散式架構 / Spark
相關書籍
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Data-intensive Systems: Principles and Fundamentals using Hadoop and Spark (Advanced Information and Knowledge Processing)$2,530$2,404 -
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Learning Path - Apache Spark 2: Data Processing and Real-Time Analytics: Master complex big data processing, stream analytics, and machine learning with Apache Spark$1,750$1,663 -
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$1,680Practical Apache Spark: Using the Scala API -
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$352Hadoop+Spark大數據技術（微課版） -
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Big Data Processing with Apache Spark: Efficiently tackle large datasets and big data analysis with Spark and Python$1,460$1,387 -
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精通 Azure Analytics｜在雲端上使用 Azure Data Lake、HDInsight 與 Spark (Mastering Azure Analytics : Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark)$680$537 -
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Spark 2.x 大數據分析與機器學習實戰$650$553 -
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$1,200Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library -
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$327高性能分佈式計算系統開發與實現：基於Hadoop、Scalding和Spark -
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Apache Spark Deep Learning Cookbook: Over 80 recipes that streamline deep learning in a distributed environment with Apache Spark$1,890$1,796 -
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$254Spark編程基礎（Scala版） -
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PySpark Cookbook$1,570$1,492 -
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Big Data Processing Using Spark in Cloud (Studies in Big Data)$4,070$3,867 -
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Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark$1,850$1,758 -
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$1,418Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series) -
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Never Lost Again: The Google Mapping Revolution That Sparked New Industries and Augmented Our Reality$1,150$1,093 -
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$798Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more -
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$2,083Spark: The Definitive Guide: Big Data Processing Made Simple (Paperback) -
$401基於 Hadoop 與 Spark 的大數據開發實戰 -
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$250Spark SQL入門與實踐指南 -
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Big Data Processing with Apache Spark$920$874 -
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