買這商品的人也買了...
-
$1,300$1,274 -
$1,685$1,601 -
$590$502 -
$360$284 -
$2,200$2,090 -
$500$395 -
$380$300 -
$699$594 -
$1,064Apache Spark Machine Learning Blueprints (Paperback)
-
$420$332 -
$990Mastering Scala Machine Learning (Paperback)
-
$580$452 -
$450$356 -
$580$458 -
$490$382 -
$580$458 -
$320$250 -
$380$251 -
$480$379 -
$550$435 -
$540$427 -
$650$429 -
$500$395 -
$550$429 -
$990Hands-On Machine Learning with Scikit-Learn and TensorFlow (Paperback)
相關主題
商品描述
This book’s straightforward, step-by-step approach shows you how to deploy, program, optimize, manage, integrate, and extend Spark–now, and for years to come. You’ll discover how to create powerful solutions encompassing cloud computing, real-time stream processing, machine learning, and more. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success.
Whether you are a data analyst, data engineer, data scientist, or data steward, learning Spark will help you to advance your career or embark on a new career in the booming area of Big Data.
Learn how to
• Discover what Apache Spark does and how it fits into the Big Data landscape
• Deploy and run Spark locally or in the cloud
• Interact with Spark from the shell
• Make the most of the Spark Cluster Architecture
• Develop Spark applications with Scala and functional Python
• Program with the Spark API, including transformations and actions
• Apply practical data engineering/analysis approaches designed for Spark
• Use Resilient Distributed Datasets (RDDs) for caching, persistence, and output
• Optimize Spark solution performance
• Use Spark with SQL (via Spark SQL) and with NoSQL (via Cassandra)
• Leverage cutting-edge functional programming techniques
• Extend Spark with streaming, R, and Sparkling Water
• Start building Spark-based machine learning and graph-processing applications
• Explore advanced messaging technologies, including Kafka
• Preview and prepare for Spark’s next generation of innovations
Instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable using Apache Spark to solve a wide spectrum of Big Data problems.
商品描述(中文翻譯)
Apache Spark 是一個快速、可擴展且靈活的開源分散式處理引擎,專為大數據系統而設,是迄今為止最活躍的開源大數據專案之一。在短短 24 課,每課一小時或更少的時間內,Sams Teach Yourself Apache Spark in 24 Hours 將幫助您建立實用的大數據解決方案,充分利用 Spark 的驚人速度、可擴展性、簡單性和多功能性。
本書的直接、逐步方法將向您展示如何部署、編程、優化、管理、整合和擴展 Spark——現在以及未來幾年。您將發現如何創建強大的解決方案,涵蓋雲計算、實時流處理、機器學習等。每一課都建立在您已經學到的知識之上,為您在現實世界中的成功奠定堅實的基礎。
無論您是數據分析師、數據工程師、數據科學家還是數據管理者,學習 Spark 將幫助您提升職業生涯或在蓬勃發展的大數據領域展開新職業。
學習如何:
• 探索 Apache Spark 的功能及其在大數據領域中的定位
• 在本地或雲端部署和運行 Spark
• 從命令行與 Spark 互動
• 充分利用 Spark 集群架構
• 使用 Scala 和功能性 Python 開發 Spark 應用程式
• 使用 Spark API 進行編程,包括轉換和操作
• 應用針對 Spark 設計的實用數據工程/分析方法
• 使用彈性分散式數據集 (RDD) 進行快取、持久化和輸出
• 優化 Spark 解決方案的性能
• 使用 SQL (透過 Spark SQL) 和 NoSQL (透過 Cassandra) 與 Spark 互動
• 利用尖端的功能性編程技術
• 使用流處理、R 和 Sparkling Water 擴展 Spark
• 開始構建基於 Spark 的機器學習和圖形處理應用程式
• 探索先進的消息技術,包括 Kafka
• 預覽並為 Spark 的下一代創新做好準備
說明將引導您解決常見問題、問題和任務;問答、測驗和練習將建立和測試您的知識;'你知道嗎?' 提示提供內部建議和捷徑;而 '小心!' 警示幫助您避免陷阱。當您完成時,您將能夠自如地使用 Apache Spark 解決各種大數據問題。