Big data problems: what are the potential challenges?

Big Data is increasingly widespread. The analysis of large amounts of data allows companies to improve their services and offer personalized experiences and products to their customers. However, working with Big Data means it is necessary to analyze the difficulties that arise related to Big Data.

In this article, we are going to see some of these Big Data problems, including some examples of Big Data problems that anyone who wants to be an expert in data analysis should know about. Interested? Let’s go!

 

What are the main Big Data problems?

The main Big Data problems can range from finding the best way to handle the large amount of data involved in the storage process, to how to analyze the huge set of information that is collected. Let’s delve into some of the most common ones.

 

Proper understanding of Big Data

As we’ve mentioned above, Big Data is increasingly used by companies of all kinds. But one of the main Big Data problems lies in the lack of understanding leading to the frustration of many initiatives.

This can happen for different reasons, such as a lack of employees with sufficient training in Big Data or professionals that are specialized in Big Data analysis.

In this case, training and hiring specialists in Big Data would help solve this problem. That is, experts who are able to understand the process and give instructions on how to treat and store the data collected.

 

Data growth

Another of the main difficulties that arise from working with Big Data is the massive growth of the volume of data. In fact, the amount of knowledge that is stored in companies’ data centers and databases is increasing rapidly.

As these data sets grow exponentially, managing them becomes increasingly difficult. One of the problems of Big Data in these cases is that the majority of the information that is collected is not structured. Instead, it is spread across different media, archives, and comes from many sources, such as:

• Documents
• Videos
• Audio files
• Text files
• Other sources

The result of collecting unstructured information is that a mess can be created within the data. It is part of the responsibility of Big Data specialists to know how to structure all this information in order to store and treat it properly in accordance with the objectives established by the company.

 

The choice of Big Data tool

Given that, as we said above, the use of Big Data is increasingly widespread, the selection of the potential tools to be used is also increasingly complex. There are many alternatives available to companies and selecting one that is not suitable for their processes can lead to the failure of any Big Data initiative.

For this reason, it is important for them to hire a Big Data specialist or consultant. A specialized professional who knows all the phases of Big Data in depth and who is capable of making the right decisions or providing advice so that savings can be made in terms of money, time and other resources and efforts.

 

Integrating data from various sources

Integrating data that comes from different sources is part of the list of potential Big Data problems that arise during the analysis stage. Sources may include:

• Social media pages
• ERP applications
• Customer records
• Financial reports
• Emails
• Presentations and reports created by employees

These are just a few examples, as there are many other sources from which Big Data can be extracted for analysis. The key to integrating all these sources is to combine them to organize reports, although this can represent a challenging task.

This is another aspect that companies tend to neglect and that can lead to the failure of initiatives related to Big Data. In fact, the integration of data is fundamental for its analysis, the generation of reports and the related business intelligence.

 

Data Protection

Information protection and security is yet another example of Big Data problems that may arise during these processes.

Securing these huge sets of information is one of the great challenges of dealing with Big Data. In this sense, companies are often too busy trying to understand, store and analyze their data sets so that they neglect their security.

This is hardly a sensible move, as unprotected data repositories can become breeding grounds for hackers seeking to steal that information. Over time, the lack of security in Big Data, may be responsible for causing economic losses that add up to millions for companies.

 

Become a Big Data specialist!

Once you understand the most common Big Data problems, you are one step closer to mastering this discipline. However, to properly train yourself and be able to work as a Big Data specialist, you need to join an excellent course or master’s degree.

At Tokyo School we can help you! With our online Big Data course, you will get ready in the hands of expert teachers and professionals in the data analysis sector, as the best way to learn is to do it from the best. Trust Tokyo School for this!

Any doubts? Is there something you want to ask us? Do not hesitate! Fill out the form below, get in touch with us and we will help you with everything you need. Become a Tokyer and get the right training in Big Data!