Big Data 101 Module 2 Video 1

Cognitive Class2 minutes read

The amount of data created is growing rapidly, with a projected total data creation of around 35 zettabytes by 2020. Cloud computing plays a crucial role in the Big Data era, allowing for scalable resources and reducing the cost of analyzing large data sets.

Insights

  • The exponential growth of data creation is staggering, with projections indicating that by 2020, 1.7 megabytes of new information will be generated every second for each person globally, leading to a total data creation of around 35 zettabytes, showcasing a 343% increase from 2015 to 2020.
  • Cloud computing has revolutionized the Big Data landscape by providing scalable computing and storage resources over the internet, allowing for flexible server capacity usage and cost-effective analysis of large data sets through resource sharing among users.

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Recent questions

  • How much data is generated globally each second?

    1.7 megabytes

  • What is the total projected data creation by 2020?

    35 zettabytes

  • How has cloud computing contributed to the Big Data era?

    Enables scalable computing and storage resources

  • What is the significance of understanding the binary system in data storage?

    Provides perspective on data storage sizes

  • How much has global data grown from 2015 to 2020?

    Predicted 343% increase

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Summary

00:00

"Global Data Explosion: Cloud Computing Impact"

  • More data has been created in the past 2 years than in all of human history before that, with a projection that by 2020, 1.7 megabytes of new information will be generated every second for each person globally, leading to a total data creation of around 35 zettabytes, a significant increase from the current 7.9 zettabytes.
  • The growth in global data is evident from the chart, showcasing a substantial rise from 2015 to 2020, with a predicted 343% increase. Understanding the scale of data is crucial, with explanations on the binary system, from bits to bytes, kilobytes, megabytes, gigabytes, terabytes, petabytes, and exabytes, providing a clear perspective on data storage sizes.
  • The emergence of cloud computing has significantly contributed to the Big Data era, enabling users to access scalable computing and storage resources via the internet. Cloud computing allows for flexible server capacity usage, facilitating the processing of large data sets and complex mathematical models, ultimately reducing the cost of analyzing Big Data by sharing resources among users.
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