Due to the technological explosion and the rapid development in various areas of life, the emergence of the vast amount of data being produced, stored, and easily accessible from multiple locations, this big data, if exploited effectively, will contribute to sustainable development.


According to statistics, by 2020, it is expected that smartphone generates more than 2GB of data per month, and this rapid growth in data production is due to the proliferation of Internet-connected devices and systems. With the shift from the analogy to digital technologies, and the rapid and rapid use of digital media by organizations and individuals, we also find that the share of the production of irregular data through social media, videos, and images is currently greater than the share of regular data [11].

Due to the increase in activities, the world around us currently produces more than 1.7 trillion bytes of data per minute, of which some centers according to Intel, the volume of data produced by the world from the beginning of the Internet age until 2003 is estimated at more than 5 Exabyte’s

(Exabyte equivalent to 1 billion gigabytes), it refers to more than 500 times during 2012 to 2.7 Zettabyte is equivalent to 1,000 billion gigabytes, and experts predicted that this trend would increase by the end of 2018.

Because of this huge volume of data, the term big data began spreading, it has increased in speed so that it is difficult to process them now using a single program or independent device or using traditional data processing applications, and here technology companies have begun to develop new auxiliary software and hardware through which they can help analyze that big data, although you wonder these examples [1]:

  • 1. Amazon analyses and processes millions of operations daily to meet the wishes of its customers, in addition to responding to the queries of more than half a million sellers per day, so Amazon has the three largest databases in the world;
  • 2. Wal-Mart, on the other hand, processes more than 1 million businesses per hour, which are stored in databases containing more than
  • 2.5 petabytes, which is 167 times the content of books in the United States Library of Congress;
  • 3. WhatsApp has more than 450 million users, trading more than 10 billion messages and 400 million images daily.

In addition, there are other leading companies in the field of big data analysis, like [3]:

  • • The Great Hydroshock has 150 million sensors that provide data 40 million times per second, and there are approximately 600 million collisions per second, but we only deal with less than 0.001% of the sensor current data, the flow of data from all four collider experiments represents 25 petabytes.
  • • Facebook handles 50 billion images from its user base, and the credit card protection system FICO Falcon Credit Card Fraud Detection System protects 2.1 billion active accounts worldwide.
  • • Windermere real estate uses anonymous GPS signals from nearly 100 million drivers to help new home buyers determine their driving times to and from work during different times of the day.
  • • IBM says that we produce 2.5 quintillion bytes of data eveiy day (Quintillion is the number one followed by 18 zeros). This data comes from everywhere, such as climate information and comments posted on social media digital images, videos, and sales and purchase transactions.
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