por The term Big Data has become popular in recent years. And although it is true that it refers to a large amount of data, Big Data has to meet a series of characteristics to be considered as such. In this post, you will learn about the 4 V’s of Big Data and thus you will know specifically what this concept implies.
Volume
Big Data implies a large volume of data. Now that data is generated automatically by machines, networks and personal interactions In systems such as social networks (Facebook, Twitter, etc.) the volumes to be analyzed are massive.
The technology for storing and processing has advanced in parallel, so the biggest problem now is not so much size as other dimensions such as veracity.
Variety
It refers to the There is a big difference in the format of the data you have.which will range from structured data that is easy to manage, to unstructured information that is difficult to use for decision making.
Each data or core of information It’s going to require it to be treated in a specific way. In addition, each type of data will require specific storage needs.
The ability to know how to process said data and transform it into an easy-to-analyze format will define the company’s ability to know how to manage and take advantage of the existing volume of data.
Veracity
The truth refers to bias, noise and data alteration. Those responsible for the Big Data project must ensure that the data that is stored and extracted is directly related and significant to the problem being analyzed.
This feature can be the biggest challenge when compared to others like volume or speed.. When assessing the scope of the Big Data strategy, it is necessary to have impartial partners on the team who help keep the data clean and ensure that processes do not accumulate “dirty data” in their systems.
Speed
Speed in Big Data refers to the rate at which input data flows from various sources such as business processes, machines and sensors, social networks, mobile devices, etc.
The flow of data is massive and continuous. Data collected in real time helps researchers and organizations when making decisions, providing valuable information that represents strategic competitive advantages.
The ROI (return on investment) It increases for companies that know how to handle that speed. In this way, a large number of companies start with data samples to understand the value provided and expand as the results are seen.
We have explained the 4 V’s of Big Data so that, in this way, you know what this term specifically implies when it is mentioned.
Where to continue?
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