Cloud Computing For Data Science Projects: What Are The Benefits?

Understand why data science and cloud computing are technologies that go hand in hand. We are living in the information age. Data has never been generated at such a large amount and speed as it is today. 90% of humanity’s data was developed in the last two years alone. And that volume tends to increase.

Many companies already see data as a strategic asset and use it to gain a competitive advantage. But dealing with this amount of data is no simple task. Professionals and new technologies capable of collecting, storing, processing, and analyzing this information are needed.

In this scenario, the cloud appears to store and process increasing amounts of data, and data science explores such data.

In this article, we’ll show you how data science and cloud computing are related technologies and why they’re necessary for your organization to move forward in business.

Data Science: Why Your Company Needs It

Data science is an interdisciplinary area focused on the study and analysis of data. Its main objective is to transform raw data into valuable insights for the business.

By adopting data science techniques, your company can integrate information from the most diverse bases to reach accurate numbers. 

Still using the same example of a logistics company, data science also makes it possible to make better use of your fleet, with information on better routes, more productive days, and fuel costs, among others. 

From this data, the company can optimize resources and use them strategically. This results in more innovative and more cost-effective decisions for the business.

The Role Of The Data Scientist

Data science involves techniques born out of its field, such as business.

Throughout their education, the data scientist will study machine learning issues, big data, statistical mathematics, economics, engineering, and other sub-areas of computing (such as database and cluster analysis).

In addition to technical skills, a good data scientist must also develop behavioral skills. Among these, the ones that fall short are the holistic and strategic view, understanding different business models, and the ability to identify real problems through data and apply machine learning, programming, and statistical techniques to solve them.

How Does Cloud Computing Facilitate Data Science?

Cloud computing is the on-demand availability of computing resources. In this computing model, access to files is done remotely, over the internet, to the detriment of physical drives. Hence the allusion to the cloud.

The scale organizations need to access, and process data is only achievable through cloud computing. Otherwise, each company would have to have many square meters destined only for the devices capable of storing this information. This would be complicated in terms of space but also of speed and ease of access.

What Are The Advantages Of Using Cloud Solutions In Your Company?

Below, we list the top five benefits of using cloud storage.

Accessibility

The first and most obvious advantage is the ease of access to files. Cloud computing only requires you to be connected to the internet to access data. That is, you can get this information from anywhere, anytime. 

You can also use your cell phone or other devices to access the information. Practicality here is a crucial concept.

Greater Security

Just because the files are on the internet doesn’t mean anyone can access them. On the contrary, security in the cloud has been a growing concern for providers.

Companies that provide cloud services apply strict security policies to their data centers. This means that the chance of a cyberattack occurring against these servers is infinitely lower than against personal computers.

Cost Reduction

Cloud computing makes it possible to reduce costs in three main areas:

  • Operational mobility: linked to the ability of employees to perform their tasks from anywhere, from any device, without losing performance.
  • Scalability of systems: related to the ability of the system to increase or reduce its resources according to user demand.
  • IT elasticity: linked to the previous concept, elasticity in this scenario refers to the fact that professionals do not have to worry about increasing or reducing their resources. That’s because whenever there is an increase or decrease in demand, Cloud solutions automatically make the changes.

In addition, it is through licensing that cloud computing companies make the solutions available. The company can choose the plan that best meets its needs, using only the amount of computing resources it needs to act strategically.

Ease Of Sharing

Companies have different departments (marketing, sales, HR, finance, etc.). Often, the areas use other programs and tools. In this scenario, a professional from another segment may need information and cannot access it without going through the IT team first.

When you join Cloud solutions, this conversation between departments becomes faster and more efficient. As the files are centralized, everyone with the access key can access them regardless of where they are. This brings more productivity to the day-to-day team.

Bug Reduction And Support 

When opting for cloud storage, you can hire a hosting company. This means that you will have qualified professionals to deal with this issue.

All the maintenance and management of the servers will be under the responsibility of the contracted company, and because it is a specialist, the chances of errors decrease. This contributes to ensuring file integrity and data reliability. And, if any problems arise, you can count on a support that understands the subject.

Also Read: What Are The Implications Of Cloud Computing For Business Continuity?

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