by Analytics Insight


March 8, 2022

Companies should be aware of the main challenges of big data in cloud technology

We used to think of big data and cloud technology as two separate ideas. These days, there are services that combine the two to make big data accessible to businesses of all sizes.

This technology solves the high cost of keeping big data and finding and training a skilled IT team to manage it.

Cloud computing has been key to scaling any business due to the lower cost it takes to purchase space in the cloud than to run physical data centers.

Cloud technology provides nearly unlimited resources essential for big data management because organizations can always purchase more cloud space.

However, if companies are considering managing big data in the cloud, they should be aware of common vulnerabilities in cloud technology. When you merge big data and the cloud, you get the convenience of the cloud, but also one that comes with security risks.

In cybersecurity, all the tools and protocols that companies need to protect their cloud are called cloud application security.

What are some of the ‌challenges businesses need to be aware of and how do you protect big data if you are managing it using cloud computing?

Let’s start with common cloud challenges and vulnerabilities.

The cloud depends on a network

To have a functional cloud, it must be connected to the internet. Any outages will create problems that you wouldn’t otherwise have if you were using Big Data in the traditional way.

You may lose access to your big data if your internet connection goes down or your internet connection may even experience lag that will affect your teams’ productivity and disrupt workflow.

Your cloud network provider must also be connected. If something isn’t working on their end, it means you’re locked out of the cloud and can’t do the big data work.

Bad cloud configurations

Errors in cloud configurations create a major vulnerability for cloud infrastructure. These are the main causes of cyberattacks that lead to breaches in the cloud.

Misconfiguration issues are common during cloud migrations, but because the cloud environment is constantly changing, disruptions can occur at any time.

Mistakes, glitches, and errors during cloud setup are hard to spot, but they can pose a significant security risk because they leave holes in the cloud that cybercriminals can exploit.

Adhere to compliance standards

Managing big data in the cloud also introduces differences in compliance standards from country to country. Businesses that use the cloud may need to acquire certification for the necessary compliance standards.

Not knowing how nations around the world govern compliance standards exposes you to potential violations. This is of particular concern when migrating to the cloud.

Common compliance standards businesses need to be aware of include:
  • The organization’s obligation to know where the data is located
  • An overview of who can access the data, and
  • Knowledge of information management in cloud environment.
Cloud DDoS Attacks

Distributed denial of service (DDoS) attacks overload the cloud with bogus traffic, slowing it down too much or preventing it from functioning altogether.

This type of cyberattack can disable your data backup, affect your productivity, create extra copies of your files, and cause your data storage to become overloaded and disorganized.

The main problem with a DDoS attack is that it is difficult to spot. For your organization, this may mean that you won’t mitigate the threat in time, causing you and your team to fall behind in your work.

Cloud Access Management

Cloud technology is convenient because users can access it virtually, from anywhere in the world. However, it also poses a major threat to cloud security and data protection.

Monitoring and configuring solutions that prevent data loss can help prevent unauthorized access to your cloud infrastructure.

For companies that intend to manage big data in the cloud, it is essential to set up different levels of restrictions and access for people who connect to your network.

Access managementor restricted access to certain people, reduces the risk of misconfigurations in the cloud, as it allows greater control over your network.

API accessibility to the public

Application Program User Interface (API), software that enables connection between computers and computer programs, is essential for remote connection in a cloud environment. It is commonly used to operate the cloud.

The API defines the protocols that organizations use when integrating and operating cloud systems. They can be used either by customers or by your team of employees.

The biggest security risk? The fact that you allow external access for your customers. Considering that it can provide access to different data, an unsecured API can reveal sensitive data to hackers.

Overcome cloud technology challenges and vulnerabilities

Securing big data in the cloud is different from protecting data stored in a physical data center, but it all comes down to controlling the data entrusted to you.

If you’re using the cloud to manage big data, cloud network dependency may not be something you can control, but you can start by:

  • Become familiar with the regulations that govern data storage, access and management
  • Have tools and protocols in place to continuously scan for suspicious activity and mitigate common cloud-damaging cyberattacks such as DDoS attacks
  • Limit access to data as much as possible to maintain control over who owns the information
  • Prepare solutions to back up and recover your data in case the cloud is compromised
  • Running the tool to confirm that you are using the latest version of software and that your system is up to date
  • Don’t assume you’ve done the setup correctly, but verify it instead

Follow these guidelines and others mentioned in this article to protect your data from ubiquitous threats.

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Analytics Insight is an influential platform dedicated to ideas, trends and opinions from the world of data-driven technologies. It monitors the developments, recognition and achievements of artificial intelligence, big data and analytics companies across the world.

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