 |
| Big Data 3V: Volume - Velocity - Variety |
Big Data 3v: Volume - Velocity - Variety
The business sector is very ignorant about what Big Data means; Today companies do not know what to do with the large volume of data and information stored in different media or databases, which can be of great importance, mainly in decision making.
This is why this post is aimed to highlight the importance of Big Data and to show that the data are generated with a certain speed and variety, causing volume growth.
As a Big Data problem one can contemplate how the data grow in volume, speed and variety today; This is due to the great advance and use of information technologies, and the daily use that people make of them.
Let's look at each of these three fundamental aspects of Big Data: volume, velocity and variety.
 |
| 3Vs of Big Data: Volume Velocity Variety |
Volume: the amount of data. Perhaps the most frequently associated feature of big data, the volume refers to the massive amounts of data that organizations try to leverage to improve decision making across the enterprise. Data volumes continue to increase at an unprecedented rate. However, what constitutes a truly "high" volume varies depending on the sector and even geographical location and is smaller than the petabytes and zetabytes often referred to. Experts consider that data sets of between one terabyte and one petabyte are already big data.
Velocity: data in motion. The speed at which data is created, processed and analyzed continues to increase. Contributing to greater speed is the real-time nature of data creation, as well as the need to incorporate streaming data into business processes and decision making. Speed affects latency: the time between the time the data is created, the time at which it is captured, and the time at which it is accessed. Today, data are generated continuously at a rate at which traditional systems find it impossible to capture, store and analyze them. For time-critical processes such as real-time fraud detection or multichannel "instant" marketing, certain types of data must be analyzed in real time to be useful for the business.
Variety: different types and sources of data. Variety has to do with managing the complexity of multiple types of data, including structured, semi-structured and unstructured data. Organizations need to integrate and analyze data from a complex array of both traditional and non-traditional information sources from inside and outside the enterprise. With the profusion of sensors, smart devices and social collaboration technologies, the data that is generated presents countless forms including text, web data, tweets, sensor data, audio, video, click sequences, log files and much more.
To conclude, companies that know how to take advantage of Big Data can improve their strategy and thus stay in the market position, because it will use new knowledge, with the large volume of data or information that handles daily, which initially were not given enough importance, for not having a technological tool that allowed to process it. With Big Data technology, companies can offer better products, develop excellent relationships with their customers, and become more agile and competitive.
That said, for the implementation of a Big Data project, the main thing is to understand how its three main variables: volume, velocity and variety work and converge.
*Imagen 3Vs of Big Data: Volume Velocity Variety, tomada de: blog.sqlauthority.com
Velocity: data in motion. The speed at which data is created, processed and analyzed continues to increase. Contributing to greater speed is the real-time nature of data creation, as well as the need to incorporate streaming data into business processes and decision making. Speed affects latency: the time between the time the data is created, the time at which it is captured, and the time at which it is accessed. Today, data are generated continuously at a rate at which traditional systems find it impossible to capture, store and analyze them. For time-critical processes such as real-time fraud detection or multichannel "instant" marketing, certain types of data must be analyzed in real time to be useful for the business.
Variety: different types and sources of data. Variety has to do with managing the complexity of multiple types of data, including structured, semi-structured and unstructured data. Organizations need to integrate and analyze data from a complex array of both traditional and non-traditional information sources from inside and outside the enterprise. With the profusion of sensors, smart devices and social collaboration technologies, the data that is generated presents countless forms including text, web data, tweets, sensor data, audio, video, click sequences, log files and much more.
To conclude, companies that know how to take advantage of Big Data can improve their strategy and thus stay in the market position, because it will use new knowledge, with the large volume of data or information that handles daily, which initially were not given enough importance, for not having a technological tool that allowed to process it. With Big Data technology, companies can offer better products, develop excellent relationships with their customers, and become more agile and competitive.
That said, for the implementation of a Big Data project, the main thing is to understand how its three main variables: volume, velocity and variety work and converge.
*Imagen 3Vs of Big Data: Volume Velocity Variety, tomada de: blog.sqlauthority.com
No comments:
Post a Comment