Data Warehousing in the Age of Big Data (Paperback)

Krish Krishnan

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商品描述

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse.

As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data-ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory.

Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse.

  • Learn how to leverage Big Data by effectively integrating it into your data warehouse.
  • Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies
  • Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

商品描述(中文翻譯)

《大數據時代的資料倉儲》將幫助您和您的組織充分利用現有的資料倉儲來處理非結構化數據。

隨著大數據繼續改變我們使用數據的方式,它不必帶來更多的困惑。專家作者Krish Krishnan以清晰簡潔的方式幫助您理解大數據如何融入資料倉儲的世界。本書分為三個部分。第一部分討論了大數據、其技術和早期採用者的使用案例。第二部分涉及資料倉儲、其缺點以及新的架構選項、工作負載和大數據與資料倉儲的整合技術。第三部分涉及數據治理、數據可視化、信息生命周期管理、數據科學家以及實施適應大數據的資料倉儲。詳細的附錄包括供應商實施的案例研究以及如何構建醫療信息工廠的特別部分。

最終,本書將幫助您在大數據和資料倉儲的複雜層面中導航,同時提供有關如何有效思考使用所有這些技術和架構來設計下一代資料倉儲的信息。


  • 學習如何通過將大數據有效整合到您的資料倉儲中來利用大數據。

  • 包括清晰演示Hadoop、NoSQL、HBASE、Hive和其他大數據技術的真實世界示例和使用案例。

  • 了解如何優化和調整您當前的資料倉儲基礎設施,並整合符合數據處理工作負載和需求的新基礎設施。