BIG DATA and it’s Impact on IT Business

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What exactly is BIG DATA?

In simple terms it’s massive amount of data being generated on a rapid speed. Many people confuse it with some kind of technology but in fact BIG DATA is a name given to our data problem. The go-to definition: Big data is data that contains greater variety arriving in increasing volumes and with ever-higher velocity. It’s too large and complex for processing by traditional database management tools.

The Three Vs of BIG DATA

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Source: wishworks.com

Types of BIG DATA (Variety)

  1. Structured Data: As the name suggests the data is structured or formatted in a consistent order that’s easily accessible for analysis.
  2. Unstructured Data: This type of data has no defined structure and hence cannot be stored in traditional relational database or RDBMS. It mainly comes from documents, social media feeds, pictures, videos and sensors.

Hadoop: A BIG DATA Tool

Somewhere around 2005, people began to notice the sheer amount of data users generated through social media, emails, blogs, websites and other online services. Hadoop (an open-source framework created specifically to store and analyze big data sets) was developed that same year.

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Distributed Storage: A solution to BIG DATA volume and velocity problem

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  • In the last two years alone, the astonishing 90% of the world’s data has been created. (Source: IORG)
  • 2.5 quintillion bytes of data are produced by humans every day. (Source: Social Media Today)
  • 463 exabytes of data will be generated each day by humans as of 2025. (Source: Raconteur)
  • 95 million photos and videos are shared every day on Instagram.
  • By the end of 2020, 44 zettabytes will make up the entire digital universe. (Source: Raconteur)
  • Every day, 306.4 billion emails are sent, and 5 million Tweets are made. (Source: Internet Live Stats)
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