Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics (The Expert's Voice)

Soumendra Mohanty

  • 出版商: Apress
  • 出版日期: 2013-06-27
  • 售價: $2,210
  • 貴賓價: 9.5$2,100
  • 語言: 英文
  • 頁數: 320
  • 裝訂: Paperback
  • ISBN: 1430248726
  • ISBN-13: 9781430248729
  • 相關分類: 大數據 Big-data
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications?

Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use.

This book addresses the following big data characteristics:

  • Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible
  • Petabytes/Exabytes of data
  • Millions/billions of people providing/contributing to the context behind the data
  • Flat schema's with few complex interrelationships
  • Involves time-stamped events
  • Made up of incomplete data
  • Includes connections between data elements that must be probabilistically inferred
Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability.

Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible.

This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

商品描述(中文翻譯)

《大數據的必要性》專注於解決每個人心中的關鍵問題:哪些數據是重要的?你是否擁有足夠的數據量來證明其使用的合理性?你希望如何處理這些數據?你實際上需要將其保持活躍多長時間以供分析、行銷和商業智慧應用?

大數據正從一次性專案的領域轉向主流商業採用;然而,大數據的真正價值不在於其龐大的規模,而在於其有效的使用。

本書探討以下大數據特徵:
- 非常大、分散的鬆散結構數據聚合——通常是不完整且無法訪問的
- 數據量達到PB(Petabytes)/EB(Exabytes)
- 數百萬/數十億人提供/貢獻數據背後的背景
- 扁平的架構,複雜的相互關係較少
- 涉及時間戳事件
- 由不完整數據組成
- 包含必須以概率推斷的數據元素之間的連結

《大數據的必要性》解釋了「大數據能做什麼」。它可以以更快且更便宜的方式批量處理數百萬和數十億條無結構和結構化的記錄。大數據分析提供了一個平台來合併所有分析,使數據分析更加準確、全面、可靠,並專注於特定的商業能力。

《大數據的必要性》描述了傳統數據倉庫和大數據分析平台的互補性質,以及它們如何相互促進。本書旨在將大數據和分析領域結合在一起,更加專注於利用大數據的規模和力量的架構,以及將分析原則整合並應用於先前無法訪問的數據的能力。

本書也可以作為從業者的手冊,幫助他們在方法論、技術架構、分析技術和最佳實踐方面提供指導。同時,本書旨在吸引對大數據和分析感興趣的新手,讓他們深入了解大數據的領域。