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{ "item_title" : "Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications", "item_author" : [" Narendra Kumar Kamila "], "item_description" : "Continuous improvements in data analysis and cloud computing have allowed more opportunities to develop systems with user-focused designs. This not only leads to higher success in day-to-day usage, but it increases the overall probability of technology adoption. Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications is a key resource on the latest innovations in cloud database systems and their impact on the daily lives of people in modern society. Highlighting multidisciplinary studies on information storage and retrieval, big data architectures, and artificial intelligence, this publication is an ideal reference source for academicians, researchers, scientists, advanced level students, technology developers and IT officials.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/52/252/013/1522520139_b.jpg", "price_data" : { "retail_price" : "210.00", "online_price" : "210.00", "our_price" : "210.00", "club_price" : "210.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications|Narendra Kumar Kamila

Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications

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Overview

Continuous improvements in data analysis and cloud computing have allowed more opportunities to develop systems with user-focused designs. This not only leads to higher success in day-to-day usage, but it increases the overall probability of technology adoption. Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications is a key resource on the latest innovations in cloud database systems and their impact on the daily lives of people in modern society. Highlighting multidisciplinary studies on information storage and retrieval, big data architectures, and artificial intelligence, this publication is an ideal reference source for academicians, researchers, scientists, advanced level students, technology developers and IT officials.

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Details

  • ISBN-13: 9781522520139
  • ISBN-10: 1522520139
  • Publisher: Information Science Reference
  • Publish Date: January 2017
  • Dimensions: 11 x 8.5 x 1 inches
  • Shipping Weight: 2.96 pounds
  • Page Count: 460

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