買這商品的人也買了...
-
$1,225Discrete and Combinatorial Mathematics: An Applied Introduction, 5/e (IE-Paperback) -
離散與組合數學 (Discrete and Combinatorial Mathematics, 5/e)$980$931 -
SQL 語法範例辭典$550$468 -
大話設計模式$620$527 -
大話資料結構$590$502 -
JavaScript 設計模式 (JavaScript Patterns)$480$379 -
![ASP.NET 4.5 專題實務 [I]－C# 入門實戰篇-cover](https://cf-assets1.tenlong.com.tw/images/71291/medium/9789572240601_bc.jpg)
ASP.NET 4.5 專題實務 [I]－C# 入門實戰篇$780$663 -
EDIMAX (EW-7811Un) Wireless 802.11n 高效能隱形 USB 無線網路卡$300$285 -
設計職人必修 Photoshop 識別設計 ProfessionalZ ~LOGO‧ICON‧MARK~$450$383 -
超圖解 Arduino 互動設計入門, 2/e$680$578 -
深入淺出 Node.js$560$437 -
Specification by Example 中文版：團隊如何交付正確的軟體 (Specification by Example: How Successful Teams Deliver the Right Software)$420$328 -
ASP.NET MVC 5 網站開發美學$780$616 -
Exchange Server 2013 PowerShell 工作現場實戰寶典 (Microsoft Exchange Server 2013 PowerShell Cookbook, 2/e)$580$458 -
精實開發與看板方法$550$468 -
Docker 入門與實戰$450$356 -
Docker 編配的奧義 (Orchestrating Docker)$280$218 -
達標！Windows 10$520$468 -
AngularJS 必學的 90 項實務秘方(AngularJS Web Application Development Cookbook)$420$328 -
R 軟體資料分析基礎與應用 (R for Everyone: Advanced Analytics and Graphics)$650$553 -
人人都是網站分析師｜看穿網站流量的祕密$380$300 -
大話重構$390$332 -
現代 PHP｜新的特點及良好習慣 (Modern PHP: New Features and Good Practices)$580$493 -
Microsoft Azure 教戰手札 – 系統建置與管理篇, 3/e$550$435 -
接案我最行：jQuery 經典範例必殺技$480$408
相關主題
商品描述
If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into short, digestible sections. You’ll quickly understand how Hadoop’s projects, subprojects, and related technologies work together.
Each chapter introduces a different topic—such as core technologies or data transfer—and explains why certain components may or may not be useful for particular needs. When it comes to data, Hadoop is a whole new ballgame, but with this handy reference, you’ll have a good grasp of the playing field.
Topics include:
- Core technologies—Hadoop Distributed File System (HDFS), MapReduce, YARN, and Spark
- Database and data management—Cassandra, HBase, MongoDB, and Hive
- Serialization—Avro, JSON, and Parquet
- Management and monitoring—Puppet, Chef, Zookeeper, and Oozie
- Analytic helpers—Pig, Mahout, and MLLib
- Data transfer—Scoop, Flume, distcp, and Storm
- Security, access control, auditing—Sentry, Kerberos, and Knox
- Cloud computing and virtualization—Serengeti, Docker, and Whirr
商品描述(中文翻譯)
如果您的組織即將進入大數據領域，您不僅需要決定是否使用Apache Hadoop作為適合的平台，還需要確定其中的哪些組件最適合您的任務。這本指南將Hadoop生態系統分解為簡短易懂的部分，使這個過程變得可行。您將迅速了解Hadoop的項目、子項目和相關技術如何協同工作。
每個章節介紹不同的主題，例如核心技術或數據傳輸，並解釋為什麼某些組件對特定需求可能或不可能有用。在數據方面，Hadoop是一個全新的遊戲，但通過這本方便的參考資料，您將對這個領域有很好的掌握。
主題包括：
- 核心技術：Hadoop分散式文件系統（HDFS）、MapReduce、YARN和Spark
- 數據庫和數據管理：Cassandra、HBase、MongoDB和Hive
- 序列化：Avro、JSON和Parquet
- 管理和監控：Puppet、Chef、Zookeeper和Oozie
- 分析助手：Pig、Mahout和MLLib
- 數據傳輸：Scoop、Flume、distcp和Storm
- 安全性、訪問控制和審計：Sentry、Kerberos和Knox
- 雲計算和虛擬化：Serengeti、Docker和Whirr
