Blog 16 characterises of big data analysis including visualizations
Blog 16: Volume – The Size of Big Data
One of the most important characteristics of big data analysis is Volume, which refers to the massive amount of data generated every second. Traditional databases were designed to handle smaller datasets, but modern businesses now collect huge amounts of information from websites, social media, sensors, online purchases, and mobile applications.
For example, Google processes billions of search queries daily, while YouTube users upload hundreds of hours of video content every minute. Retail companies also collect customer purchase records from thousands of transactions daily.
Large data volumes require organizations to use cloud storage systems and distributed computing platforms such as Apache Hadoop and Apache Spark.
Visualization:
Data Growth Chart
| Year | Global Data Created |
|---|---|
| 2010 | 2 Zettabytes |
| 2015 | 15 Zettabytes |
| 2020 | 64 Zettabytes |
| 2025 | 181 Zettabytes |
This chart shows how rapidly data volume is increasing worldwide.
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