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{ "item_title" : "Emerging Technologies and Applications in Data Processing and Management", "item_author" : [" Zongmin Ma", "Li Yan "], "item_description" : "Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/52/258/446/1522584463_b.jpg", "price_data" : { "retail_price" : "265.00", "online_price" : "265.00", "our_price" : "265.00", "club_price" : "265.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Emerging Technologies and Applications in Data Processing and Management|Zongmin Ma

Emerging Technologies and Applications in Data Processing and Management

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Overview

Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.

This item is Non-Returnable

Details

  • ISBN-13: 9781522584469
  • ISBN-10: 1522584463
  • Publisher: Engineering Science Reference
  • Publish Date: June 2019
  • Dimensions: 11 x 8.5 x 1.06 inches
  • Shipping Weight: 3.09 pounds
  • Page Count: 350

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