Enterprise Data Workflows with Cascading (Paperback)
暫譯: 使用 Cascading 的企業數據工作流程 (平裝本)

Paco Nathan

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商品描述

There is an easier way to build Hadoop applications. With this hands-on book, you’ll learn how to use Cascading, the open source abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applications—without having to learn the intricacies of MapReduce.

Working with sample apps based on Java and other JVM languages, you’ll quickly learn Cascading’s streamlined approach to data processing, data filtering, and workflow optimization. This book demonstrates how this framework can help your business extract meaningful information from large amounts of distributed data.

  • Start working on Cascading example projects right away
  • Model and analyze unstructured data in any format, from any source
  • Build and test applications with familiar constructs and reusable components
  • Work with the Scalding and Cascalog Domain-Specific Languages
  • Easily deploy applications to Hadoop, regardless of cluster location or data size
  • Build workflows that integrate several big data frameworks and processes
  • Explore common use cases for Cascading, including features and tools that support them
  • Examine a case study that uses a dataset from the Open Data Initiative

商品描述(中文翻譯)

有一種更簡單的方法來構建 Hadoop 應用程式。透過這本實作導向的書籍,您將學會如何使用 Cascading,這是一個開源的 Hadoop 抽象框架,讓您能夠輕鬆創建和管理強大的企業級數據處理應用程式—而無需學習 MapReduce 的複雜性。

透過基於 Java 和其他 JVM 語言的範例應用程式,您將快速學會 Cascading 對數據處理、數據過濾和工作流程優化的精簡方法。本書展示了這個框架如何幫助您的業務從大量分散的數據中提取有意義的信息。

- 立即開始進行 Cascading 範例專案
- 模型化和分析來自任何來源的任何格式的非結構化數據
- 使用熟悉的結構和可重用的組件構建和測試應用程式
- 使用 Scalding 和 Cascalog 特定領域語言
- 無論集群位置或數據大小,輕鬆部署應用程式到 Hadoop
- 構建整合多個大數據框架和流程的工作流程
- 探索 Cascading 的常見使用案例,包括支持它們的功能和工具
- 檢視一個使用開放數據倡議數據集的案例研究