Hbase: The Definitive Guide 2/e
暫譯: HBase:權威指南(第二版)

Lars George

商品描述

If you’re looking for a scalable storage solution to accommodate a virtually endless amount of data, this updated edition shows you how Apache HBase can meet your needs. Modeled after Google’s BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant.

Fully revised for HBase 1.0, this second edition brings you up to speed on the new HBase client API, as well as security features and new case studies that demonstrate HBase use in the real world. Whether you just started to evaluate this non-relational database, or plan to put it into practice right away, this book has your back.

  • Launch into basic, advanced, and administrative features of HBase’s new client-facing API
  • Use new classes to integrate HBase with Hadoop’s MapReduce framework
  • Explore HBase’s architecture, including the storage format, write-ahead log, and background processes
  • Dive into advanced usage, such extended client and server options
  • Learn cluster sizing, tuning, and monitoring best practices
  • Design schemas, copy tables, import bulk data, decommission nodes, and other tasks
  • Go deeper into HBase security, including Kerberos and encryption at rest

商品描述(中文翻譯)

如果您正在尋找一個可擴展的儲存解決方案,以容納幾乎無限量的數據,這本更新版的書籍將向您展示 Apache HBase 如何滿足您的需求。HBase 的架構是以 Google 的 BigTable 為模型,能夠擴展到數十億行和數百萬列,同時確保寫入和讀取性能保持穩定。

這本針對 HBase 1.0 完全修訂的第二版,讓您了解新的 HBase 客戶端 API,以及安全功能和新的案例研究,展示 HBase 在現實世界中的應用。無論您是剛開始評估這個非關聯數據庫,還是計劃立即將其投入實踐,這本書都能為您提供支持。

- 探索 HBase 新的客戶端 API 的基本、高級和管理功能
- 使用新類別將 HBase 與 Hadoop 的 MapReduce 框架整合
- 深入了解 HBase 的架構,包括儲存格式、寫前日誌和背景處理
- 深入探討高級用法,包括擴展的客戶端和伺服器選項
- 學習集群規模、調整和監控的最佳實踐
- 設計架構、複製表格、導入大量數據、退役節點及其他任務
- 更深入了解 HBase 的安全性,包括 Kerberos 和靜態加密