Hadoop in Action

HIGHLIGHT Hadoop in Action is an example-rich tutorial that shows developers how to implement data-intensive distributed computing using Hadoop and the Map- Reduce framework. DESCRIPTION Hadoop is an open source implementation of Google's MapReduce framework for scalable, distributed data processing. Hadoop in Action is for programmers, architects, and project managers w...

HIGHLIGHT Hadoop in Action is an example-rich tutorial that shows developers how to implement data-intensive distributed computing using Hadoop and the Map- Reduce framework. DESCRIPTION Hadoop is an open source implementation of Google's MapReduce framework for scalable, distributed data processing. Hadoop in Action is for programmers, architects, and project managers who have to process large amounts of data offline. The book begins with several simple examples that illustrate the basic idea behind Hadoop. Later chapters explain the core framework components and demonstrate Hadoop in a variety of data analysis tasks. Throughout the book, readers will learn best practices and design patterns, and how to write meaningful programs in a MapReduce framework. KEY POINTS Explains distributed computing, MapReduce, and the Hadoop framework Focuses on most-used features and rapid development solutions Numerous hands-on examples to illustrate abstract ideas Concise, developer-centric, In Action style Multiple case studies demonstrate real-world Hadoop uses Covers popular Hadoop extensions that ease development and extend functionality

Chuck Lam 目前建立了一個名為RollCall的移動社交網(wǎng)絡(luò)公司，讓活躍的個體用戶擁有了一個社交助理。他以前曾是RockYou的高級技術(shù)組長，開發(fā)了社交應(yīng)用 程序和數(shù)據(jù)處理基礎(chǔ)架構(gòu)，能夠支撐上億的用戶。在斯坦福大學(xué)攻讀博士的時候，Chuck就對大數(shù)據(jù)產(chǎn)生了興趣。他的論文“Computational Data Acquisition”首創(chuàng)了可用于機器學(xué)習(xí)的數(shù)據(jù)采集方法，吸納了來自開源軟件和網(wǎng)絡(luò)游戲等領(lǐng)域的思想。