Sams Teach Yourself NoSQL with MongoDB in 24 Hours (Paperback)

Brad Dayley

  • 出版商: SAMS
  • 出版日期: 2014-09-18
  • 售價: $1,190
  • 貴賓價: 9.5$1,131
  • 語言: 英文
  • 頁數: 544
  • 裝訂: Paperback
  • ISBN: 0672337134
  • ISBN-13: 9780672337130
  • 相關分類: NoSQLMongoDBSQL
  • 相關翻譯: MongoDB入門經典 (簡中版)
  • 立即出貨(限量) (庫存=1)

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商品描述

NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB.

 

Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB's immense power. Each short, easy lesson builds on all that's come before, teaching NoSQL concepts and MongoDB techniques from the ground up.

 

Sams Teach Yourself NoSQL with MongoDB in 24 Hours covers all this, and much more:

  • Learning how NoSQL is different, when to use it, and when to use traditional RDBMSes instead
  • Designing and implementing MongoDB databases of diverse types and sizes
  • Storing and interacting with data via Java, PHP, Python, and Node.js/Mongoose
  • Choosing the right NoSQL distribution model for your application
  • Installing and configuring MongoDB
  • Designing MongoDB data models, including collections, indexes, and GridFS
  • Balancing consistency, performance, and durability
  • Leveraging the immense power of Map-Reduce
  • Administering, monitoring, securing, backing up, and repairing MongoDB databases
  • Mastering advanced techniques such as sharding and replication
  • Optimizing performance

 

商品描述(中文翻譯)

NoSQL資料庫的使用量每年以驚人的50%成長,組織們發現NoSQL在應對最具挑戰性的大數據和實時數據庫問題方面的潛力。每個NoSQL資料庫都不同,但其中一個是目前最受歡迎的:MongoDB。

現在,只需24堂課,每堂課不到一小時,您就可以學習如何充分利用MongoDB的強大功能。每個簡短而易懂的課程都建立在之前的基礎上,從頭開始教授NoSQL概念和MongoDB技術。

《Sams Teach Yourself NoSQL with MongoDB in 24 Hours》涵蓋了以下內容,還有更多:

- 學習NoSQL與傳統關聯式資料庫的區別,以及何時使用它,何時使用傳統關聯式資料庫
- 設計和實現各種類型和大小的MongoDB資料庫
- 通過Java、PHP、Python和Node.js/Mongoose存儲和互動數據
- 為應用選擇合適的NoSQL分佈模型
- 安裝和配置MongoDB
- 設計MongoDB數據模型,包括集合、索引和GridFS
- 平衡一致性、性能和耐久性
- 充分利用Map-Reduce的強大功能
- 管理、監控、保護、備份和修復MongoDB資料庫
- 掌握分片和複製等高級技術
- 優化性能