Managing Data in Motion: Data Integration Best Practice Techniques and Technologies (Paperback)

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment.

The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired.

The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects.

• Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types
• Explains, in non-technical terms, the architecture and components required to perform data integration
• Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"

《Managing Data in Motion》描述了一些技術，這些技術可以顯著降低管理系統接口的複雜性，並實現可擴展的架構。作者April Reeve憑藉超過二十年的經驗，提出了一種供應商中立的方法，用於在計算環境和系統之間移動數據。讀者將學習在計算機系統之間管理數據傳輸的技巧、技術和最佳實踐，以及在企業環境中整合不同數據的方法。

一般企業的計算環境由數百到數千個計算機系統組成，這些系統是隨著時間建立、購買和獲得的。這些不同系統的數據需要進行整合，以進行報告和分析，進行業務交易處理，以及在舊系統被替換和新系統被獲得時進行格式轉換。

在組織中，管理“數據在運動中”的工作迅速成為企業和IT管理的最大關注點之一。數據倉庫和轉換、實時數據集成、雲和“大數據”應用程序只是組織和企業今天面臨的一些挑戰。《Managing Data in Motion》以一種易於理解的方式，向商業和IT管理人員以及程序員和架構師介紹了這些和其他主題。

本書提供了一個供應商中立的概述，介紹了不同技術和方法，用於在計算機系統之間移動數據，包括處理非結構化數據類型的新興解決方案。

以非技術性的術語解釋了執行數據集成所需的架構和組件。

描述了如何降低管理系統接口的複雜性，實現可擴展的數據架構，以應對“大數據”的規模。