Hadoop Real World Solutions Cookbook (Paperback)
暫譯: Hadoop 實戰解決方案食譜 (平裝本)

Jonathan R. Owens, Brian Femiano

  • 出版商: Packt Publishing
  • 出版日期: 2013-01-14
  • 定價: $1,650
  • 售價: 6.0$990
  • 語言: 英文
  • 頁數: 316
  • 裝訂: Paperback
  • ISBN: 1849519129
  • ISBN-13: 9781849519120
  • 相關分類: Hadoop
  • 相關翻譯: Hadoop實戰手冊 (簡中版)
  • 立即出貨(限量) (庫存=1)

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商品描述

Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.

Overview

  • Solutions to common problems when working in the Hadoop environment.
  • Recipes for (un)loading data, analytics, and troubleshooting.
  • In depth code examples demonstrating various analytic models, analytic solutions, and common best practices.

In Detail

Helping developers become more comfortable and proficient with solving problems in the Hadoop space. People will become more familiar with a wide variety of Hadoop related tools and best practices for implementation.

Hadoop Real World Solutions Cookbook will teach readers how to build solutions using tools such as Apache Hive, Pig, MapReduce, Mahout, Giraph, HDFS, Accumulo, Redis, and Ganglia.

Hadoop Real World Solutions Cookbook provides in depth explanations and code examples. Each chapter contains a set of recipes that pose, then solve, technical challenges, and can be completed in any order. A recipe breaks a single problem down into discrete steps that are easy to follow. The book covers (un)loading to and from HDFS, graph analytics with Giraph, batch data analysis using Hive, Pig, and MapReduce, machine learning approaches with Mahout, debugging and troubleshooting MapReduce, and columnar storage and retrieval of structured data using Apache Accumulo.

Hadoop Real World Solutions Cookbook will give readers the examples they need to apply Hadoop technology to their own problems.

What you will learn from this book

  • Data ETL, compression, serialization, and import/export.
  • Simple and advanced aggregate analysis.
  • Graph analysis.
  • Machine learning.
  • Troubleshooting and debugging.
  • Scalable persistence.
  • Cluster administration and configuration.

Approach

Cookbook recipes demonstrate Hadoop in action and then explain the concepts behind the code.

Who this book is written for

This book is ideal for developers who wish to have a better understanding of Hadoop application development and associated tools, and developers who understand Hadoop conceptually but want practical examples of real world applications.

商品描述(中文翻譯)

你是否曾經覺得在使用 Hadoop 開發應用程式時需要一些實用的幫助?那麼,你剛好找到了這本書。這本現實世界解決方案食譜書充滿了你可以應用於日常問題的實用配方。

概述

  • 在 Hadoop 環境中工作時常見問題的解決方案。
  • 數據的 (卸) 載、分析和故障排除的配方。
  • 深入的程式碼範例,展示各種分析模型、分析解決方案和常見最佳實踐。

詳細內容

幫助開發人員在 Hadoop 領域中變得更加自信和熟練地解決問題。讀者將對各種與 Hadoop 相關的工具和實施最佳實踐變得更加熟悉。

《Hadoop 現實世界解決方案食譜書》將教導讀者如何使用 Apache Hive、Pig、MapReduce、Mahout、Giraph、HDFS、Accumulo、Redis 和 Ganglia 等工具來構建解決方案。

《Hadoop 現實世界解決方案食譜書》提供深入的解釋和程式碼範例。每一章都包含一組配方,提出並解決技術挑戰,並且可以按任意順序完成。每個配方將單一問題分解為易於遵循的步驟。這本書涵蓋了 HDFS 的 (卸) 載、使用 Giraph 進行圖形分析、使用 Hive、Pig 和 MapReduce 進行批量數據分析、使用 Mahout 的機器學習方法、MapReduce 的除錯和故障排除,以及使用 Apache Accumulo 的結構化數據的列式存儲和檢索。

《Hadoop 現實世界解決方案食譜書》將為讀者提供應用 Hadoop 技術於自身問題所需的範例。

你將從這本書中學到什麼

  • 數據 ETL、壓縮、序列化和進口/出口。
  • 簡單和進階的聚合分析。
  • 圖形分析。
  • 機器學習。
  • 故障排除和除錯。
  • 可擴展的持久性。
  • 叢集管理和配置。

方法

食譜示範了 Hadoop 的實際應用,然後解釋程式碼背後的概念。

本書的讀者對象

這本書非常適合希望更好理解 Hadoop 應用開發及相關工具的開發人員,以及那些對 Hadoop 概念有了解但希望獲得現實世界應用實例的開發人員。