BIG DATA_
The 5Vs of Big Data refer to five key characteristics that define and differentiate big data from traditional data. These characteristics help in understanding how data is generated, processed, and utilized in modern technologies.
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5Vs of BIG DATA
Variety
Volume
Value
Velocity
Veracity
5V's - value
The most important aspect of Big Data is its usefulness. Data alone is not valuable unless it is analyzed properly. Businesses, governments, and researchers use Big Data to make better decisions, improve services, and predict trends. For example, online stores analyze customer behavior to recommend products people might like.
5V's - Variety
Data comes in different types and formats. It can be structured (organized in databases like Excel sheets), semi-structured (emails, JSON, XML), or unstructured (videos, images, audio, social media posts). For example, a hospital stores patient details in text format, while X-ray scans are stored as images.
5v's - volume
Big Data means handling an extremely large amount of data. Every second, massive amounts of data are generated from sources like social media, online shopping, sensors in devices, and financial transactions. For example, platforms like YouTube process thousands of hours of video uploads every minute.
5v's - velocity
Data is not only large but also comes in very fast. Some data needs to be processed instantly, like stock market updates, GPS locations, or live sports scores. If data is not processed quickly, it may become useless.
5v's - Veracity
Not all data is accurate or reliable. Some data may have mistakes, be incomplete, or be misleading. For example, fake news on social media or errors in online forms can affect decisions made using that data. It is important to clean and verify data before using it.
Veracity refers to changes in data meaning, format, and interpretation over time.
BIG DATA_
Subitha Periyasamy
Created on February 13, 2025
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Transcript
BIG DATA_
The 5Vs of Big Data refer to five key characteristics that define and differentiate big data from traditional data. These characteristics help in understanding how data is generated, processed, and utilized in modern technologies.
start_
5Vs of BIG DATA
Variety
Volume
Value
Velocity
Veracity
5V's - value
The most important aspect of Big Data is its usefulness. Data alone is not valuable unless it is analyzed properly. Businesses, governments, and researchers use Big Data to make better decisions, improve services, and predict trends. For example, online stores analyze customer behavior to recommend products people might like.
5V's - Variety
Data comes in different types and formats. It can be structured (organized in databases like Excel sheets), semi-structured (emails, JSON, XML), or unstructured (videos, images, audio, social media posts). For example, a hospital stores patient details in text format, while X-ray scans are stored as images.
5v's - volume
Big Data means handling an extremely large amount of data. Every second, massive amounts of data are generated from sources like social media, online shopping, sensors in devices, and financial transactions. For example, platforms like YouTube process thousands of hours of video uploads every minute.
5v's - velocity
Data is not only large but also comes in very fast. Some data needs to be processed instantly, like stock market updates, GPS locations, or live sports scores. If data is not processed quickly, it may become useless.
5v's - Veracity
Not all data is accurate or reliable. Some data may have mistakes, be incomplete, or be misleading. For example, fake news on social media or errors in online forms can affect decisions made using that data. It is important to clean and verify data before using it.
Veracity refers to changes in data meaning, format, and interpretation over time.