| 書(shū)目名稱(chēng) | Hands-on Guide to Apache Spark 3 | | 副標(biāo)題 | Build Scalable Compu | | 編輯 | Alfonso Antolínez‘García | | 視頻video | http://file.papertrans.cn/424/423989/423989.mp4 | | 概述 | Covers Apache Spark application development using PySpark and SQL APIs.Explains building Apache Spark data analytics workflow and analyzing real-time data.Discusses Apache Spark with other stream proc | | 圖書(shū)封面 |  | | 描述 | This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing. It covers how to use Spark’s structured APIs to perform complex data transformations and analyses you can use to implement end-to-end analytics workflows..?.This book covers Spark 3‘s new features, theoretical foundations, and application architecture. The first section introduces the Apache Spark ecosystem as a unified engine for large scale data analytics, and shows you how to run and fine-tune your first application in Spark. The second section centers on batch processing suited to end-of-cycle processing, and data ingestion through files and databases. It explains Spark DataFrame API as well as structured and unstructured data with Apache Spark. The last section deals with scalable, high-throughput, fault-tolerant streaming processing workloads to process real-time data. Here you‘ll learn about Apache Spark Streaming’s execution model, the architecture of Spark Streaming, monitoring, reporting, and recovering Spark streaming. A full chapter is devoted to future directions for Spark Streaming. With real-world use cases, code snippets, and notebooks hosted o | | 出版日期 | Book 2023 | | 關(guān)鍵詞 | Data Science; Apache Spark; Python; Spark Streaming; Hadoop Yarn; Apache Mesos; PySpark; Mlib | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-9380-5 | | isbn_softcover | 978-1-4842-9379-9 | | isbn_ebook | 978-1-4842-9380-5 | | copyright | Alfonso Antol?nez Garc?a 2023 |
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