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{ "item_title" : "Managing and Processing Big Data in Cloud Computing", "item_author" : [" Rajkumar Kannan", "Raihan Ur Rasool", "Hai Jin "], "item_description" : "Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution to this challenge is cloud computing, which supports a massive storage and computation facility in order to accommodate big data processing. Managing and Processing Big Data in Cloud Computing explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. Emphasizing a number of crucial topics such as data analytics, wireless networks, mobile clouds, and machine learning, this publication meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators in the areas of data science, computer programming, and IT development.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/46/669/767/1466697679_b.jpg", "price_data" : { "retail_price" : "200.00", "online_price" : "200.00", "our_price" : "200.00", "club_price" : "200.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Managing and Processing Big Data in Cloud Computing|Rajkumar Kannan

Managing and Processing Big Data in Cloud Computing

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Overview

Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution to this challenge is cloud computing, which supports a massive storage and computation facility in order to accommodate big data processing. Managing and Processing Big Data in Cloud Computing explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. Emphasizing a number of crucial topics such as data analytics, wireless networks, mobile clouds, and machine learning, this publication meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators in the areas of data science, computer programming, and IT development.

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Details

  • ISBN-13: 9781466697676
  • ISBN-10: 1466697679
  • Publisher: Information Science Reference
  • Publish Date: January 2016
  • Dimensions: 11 x 8.5 x 0.75 inches
  • Shipping Weight: 2.3 pounds
  • Page Count: 328

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