Apachesparks

Apache Spark 採用記憶體內快取並將查詢執行最佳化，以快速分析查詢任何規模的資料。Spark 在資料處理中使用人工智慧和機器學習(AI/ML)，因此是比Hadoop 更先進的技術。

Apache Spark 是用於大數據工作負載的開放原始碼、分散式處理系統。它採用記憶體內快取並優化查詢執行，以對任何規模的資料進行快速地分析查詢。

Apache Spark is a unified analytics engine for large-scale data processing with built-in modules for SQL, streaming, machine learning, and graph processing.

Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit ...

Apache Spark 的介紹.

Download Apache Spark™ · Link with Spark · Installing with PyPi · Convenience Docker Container Images · Release notes for stable releases · Archived releases.

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

Apache Spark™ 3.0 provides a set of easy to use API's for ETL, Machine Learning, and graph from massive processing over massive datasets from a variety of ...

歷史 編輯. Spark在2009年由Matei Zaharia（英語：Matei Zaharia）在加州大學柏克萊分校AMPLab開創，2010年透過BSD授權條款開源釋出。2013年，該專案被捐贈給Apache軟體 ...