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商品描述
This book is for the advanced Spark user, who is looking to deploy Spark in Docker containers, and wants to learn not only how to work with the basic Spark features, but also how to extend it to fit custom requirements (such as leveraging GPU processing nodes) aided by a series of real-world implementation examples where possible using real data.
Spark is an exciting new analytical platform by the Apache Foundation. It combines fault tolerant distributed computing with very low latency by keeping data in memory and keeping processing as local to the compute nodes as possible. This way Spark can achieve magnitudes of performance improvements over conventional Hadoop cluster processing.
商品描述(中文翻譯)
這本書是為進階的 Spark 使用者而寫，適合那些希望在 Docker 容器中部署 Spark 的讀者，並且想要學習如何不僅使用基本的 Spark 功能，還要了解如何擴展其以符合自訂需求（例如利用 GPU 處理節點），並透過一系列實際的實作範例來輔助學習，盡可能使用真實數據。
Spark 是 Apache 基金會推出的一個令人興奮的新分析平台。它結合了容錯的分散式計算和非常低的延遲，通過將數據保留在記憶體中並盡可能將處理保持在計算節點的本地。這樣，Spark 可以在性能上實現比傳統 Hadoop 集群處理更高的提升。
