Structured Search for Big Data: From Keywords to Key-objects (Paperback)

Mikhail Gilula

  • 出版商: Morgan Kaufmann
  • 出版日期: 2015-09-01
  • 售價: $1,250
  • 貴賓價: 9.5$1,188
  • 語言: 英文
  • 頁數: 114
  • 裝訂: Paperback
  • ISBN: 0128046317
  • ISBN-13: 9780128046319
  • 相關分類: 大數據 Big-data
  • 立即出貨 (庫存=1)

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商品描述

The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information from the Big Data.

As a Big Data Consultant, Mikhail Gilula combines academic background with 20 years of industry experience in the database and data warehousing technologies working as a Sr. Data Architect for Teradata, Alcatel-Lucent, and PayPal, among others. He has authored three books, including The Set Model for Database and Information Systems and holds four US Patents in Structured Search and Data Integration.

  • Conceptualizes structured search as a technology for querying multiple data sources in an independent and scalable manner.
  • Explains how NoSQL and KeySQL complement each other and serve different needs with respect to big data
  • Shows the place of structured search in the internet evolution and describes its implementations including the real-time structured internet search

商品描述(中文翻譯)

WWW時代使數十億人對數據技術的進步產生了巨大的依賴,其中網絡搜索和大數據可以說是最為顯著的。結構化搜索範式通過關鍵詞演變為關鍵對象,將它們與關鍵字作為搜索單位相連接。關鍵對象數據模型和KeySQL改進了數據獨立性原則,使其適用於大數據,並通過完整的結構化查詢功能補充了NoSQL。最終目標是從大數據中提取大量信息。

作為一名大數據顧問,Mikhail Gilula將學術背景與在數據庫和數據倉儲技術方面的20年行業經驗相結合,曾在Teradata、Alcatel-Lucent和PayPal等公司擔任高級數據架構師。他撰寫了三本書,包括《數據庫和信息系統的集合模型》,並擁有四項關於結構化搜索和數據集成的美國專利。

本書概述了結構化搜索作為一種獨立且可擴展的多數據源查詢技術的概念。解釋了NoSQL和KeySQL如何相互補充,並根據大數據的不同需求提供不同的服務。展示了結構化搜索在互聯網演進中的地位,並描述了其實現方式,包括實時結構化互聯網搜索。