Moving Hadoop to the Cloud: Harnessing Cloud Features and Flexibility for Hadoop Clusters
暫譯: 將 Hadoop 移至雲端:利用雲端特性與靈活性來管理 Hadoop 集群

Bill Havanki

  • 出版商: O'Reilly
  • 出版日期: 2017-08-22
  • 售價: $1,570
  • 貴賓價: 9.5$1,492
  • 語言: 英文
  • 頁數: 338
  • 裝訂: Paperback
  • ISBN: 1491959630
  • ISBN-13: 9781491959633
  • 相關分類: Hadoop
  • 海外代購書籍(需單獨結帳)

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商品描述

Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there’s a lot more to deploying Hadoop to the public cloud than simply renting machines.

This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently. You’ll learn how to architect clusters that work with cloud-provider features—not just to avoid pitfalls, but also to take full advantage of these services. You’ll also compare the Amazon, Google, and Microsoft clouds, and learn how to set up clusters in each of them.

  • Learn how Hadoop clusters run in the cloud, the problems they can help you solve, and their potential drawbacks
  • Examine the common concepts of cloud providers, including compute capabilities, networking and security, and storage
  • Build a functional Hadoop cluster on cloud infrastructure, and learn what the major providers require
  • Explore use cases for high availability, relational data with Hive, and complex analytics with Spark
  • Get patterns and practices for running cloud clusters, from designing for price and security to dealing with maintenance

商品描述(中文翻譯)

直到最近,Hadoop 部署仍然存在於由組織擁有和運行的硬體上。當然,現在您可以獲得計算資源和網路連接,以在雲端運行 Hadoop 集群。但將 Hadoop 部署到公共雲中,遠不止於簡單地租用機器。

這本實用指南向熟悉 Hadoop 的開發人員和系統管理員展示如何有效地安裝、使用和管理雲端集群。您將學習如何設計與雲服務提供商功能相容的集群——不僅是為了避免陷阱,還能充分利用這些服務。您還將比較 Amazon、Google 和 Microsoft 的雲端,並學習如何在每個雲端中設置集群。

- 了解 Hadoop 集群在雲端運行的方式、它們能幫助您解決的問題以及潛在的缺點
- 檢視雲服務提供商的共同概念,包括計算能力、網路與安全性以及儲存
- 在雲端基礎設施上建立一個功能性 Hadoop 集群,並了解主要提供商的要求
- 探索高可用性、使用 Hive 的關聯數據和使用 Spark 的複雜分析的使用案例
- 獲取運行雲端集群的模式和實踐,從設計價格和安全性到處理維護問題