The possibilities of Big Data, as a technology for obtaining and processing data, is revolutionizing fields as varied as the financial, business, and even health sector. These data systems facilitate decision-making and carry a series of competitive advantages, but they are not without drawbacks.
The development and application of this data science require experts trained in a Master’s Degree in Big Data who know in depth its pros and cons. In the following article, we will try to understand what are the advantages and disadvantages of Big Data.
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Advantages and Disadvantages of Big Data
Advantages of Big Data
The advantage of Big Data is based on the ability to process and obtain information that this technology is capable of. Taking advantage of these technologies will depend on the expert creation of systems, which is why the demand for professionals with data science skills is huge.
Some of the uses of data science are as follows.
- Improved decision-making. Having a large volume of structured data that can be interpreted helps organizations to make business decisions.
- Feedback in real-time. Big Data technology allows not only storing and process the data, It also means receiving data in real time and having the necessary information quickly. Big Data is above all an agile and fast technology that allows, for example, to obtain real-time information on the launch of a product or the result of a strategy.
- Knowledge of the market . Obtaining and monitoring Big Data data allows us to know consumers and anticipate their needs, as well as detect trends in consumption or failures in customer service. The inclusion of professionals with big data skills means that it allows companies to locate possible opportunities through these structured and comparable data.
- Technology of the present and the future . Data science begins to be a differentiating and successful element among companies. Its application in other fields such as medicine are also beginning to be noticed. Big Data technology is constantly evolving and everything indicates that it will play an even more important role in future decision-making.
Disadvantages of Big data
Security is still one of its greatest risks, there are other drawbacks if this technology is not managed and applied in the right way by experts.
1. Excess data
The utility of Big Data arises from its ability to extract information from data. If this data is stored and analyzed indiscriminately it only becomes noise that will slow down and hamper tasks. Professionals with big data skills obtain the ability to discern and select the data and patterns that will be useful for businesses.
2. Cybersecurity
Cybersecurity is the biggest challenge for Big Data technology. The vulnerability of this huge amount of stored data is the target of new cyberattacks. So it is important to make sure that data is stored in a very safe and secure way.
3. Data protection policies
In relation to the above, and as with many of the great technological advances, protocols are necessary to establish to what extent this technology could be considered intrusive and how to protect it.
4. Technophobia
More as a consequence of the myths about Big Data than because of its disadvantages, there are unfavorable reactions from users, who consider that it violates their privacy. What these users probably do not know is that data technology takes years between their daily actions allowing progress to facilitate their daily lives.
