{"id":21529,"date":"2022-05-31T11:23:55","date_gmt":"2022-05-31T09:23:55","guid":{"rendered":"https:\/\/stage-fp.webenv.pl\/blog\/?p=21529"},"modified":"2025-11-05T10:36:45","modified_gmt":"2025-11-05T09:36:45","slug":"7-common-big-data-security-issues","status":"publish","type":"post","link":"https:\/\/www.future-processing.com\/blog\/7-common-big-data-security-issues\/","title":{"rendered":"Common Big Data security challenges: how to prevent them?"},"content":{"rendered":"\n

Big Data security: threat landscape<\/h2>\n\n\n\n

These days, there are quite literally billions of devices from which we can collect data.<\/p>\n\n\n\n

As companies from all corners of the world make the step towards <\/strong>cloud computing<\/strong><\/a> and create their own <\/strong>digital transformation strategies<\/strong><\/a>, they are able to study <\/strong>Big Data<\/strong><\/a> available from the enormous number of IP-equipped endpoints to identify the hidden trends within.<\/p>\n\n\n\n

This can benefit companies by allowing them to improve certain aspects of their business, such as customer satisfaction, swifter service delivery and higher revenues.<\/strong><\/p>\n\n\n\n

With all the advanced architectures that are being created to store Big Data, the threat of greater criminal activity rises.<\/em><\/p>\n\n\n\n

Digital threats such as malware pose a very real risk to companies seeking to protect their information. These threats can be devastating to an organisation and cause it irreparable harm.<\/p>\n\n\n\n

Many of the tools associated with smart analytics and Big Data are open source and not necessarily created with security as the number one concern, which poses big problems.<\/p>\n\n\n\n

Software security<\/strong><\/a> is extremely important and many companies who have made the digital leap are now reaching out to consultants to stiffen up their defences in anticipation of these very real risks<\/strong>.
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4 V’s of Big Data Security<\/em><\/figcaption><\/figure>\n\n\n\n


7 Big Data security issues<\/h2>\n\n\n\n

We all know Big Data presents some unique security challenges. Let’s look at seven main ones to understand the complexity of this issue.<\/p>\n\n\n\n


1. Data storage<\/h3>\n\n\n\n

Cloud data storage comes with risks and security issues that need to be carefully considered.<\/strong> Making any type of mistake when it comes to storing data in the appropriate location can be absolutely critical for companies, so this is an issue that needs to be looked at very carefully to avoid the data being taken.<\/p>\n\n\n\n

In Big Data architecture, it is common practice for companies to take a \u2018multi-layered\u2019 approach<\/a> in which they use a range of locations according to the type of data they want to store, depending how \u2018sensitive\u2019 or critical it is.<\/em><\/p>\n\n\n\n

Although cloud data storage can increase the speed and performance of a company\u2019s systems<\/strong>, without a cyber security expert there is a risk of threats. Therefore, not all data should be stored in the cloud. <\/p>\n\n\n\n

A multi-layered approach<\/strong> involves storing normal, everyday data safely in the cloud, but keeping the most sensitive, \u2018hot\u2019 data away from the cloud on isolated infrastructure such as flash media.<\/p>\n\n\n\n

However, this does come with the cost of slower systems and processes.<\/p>\n\n\n\n

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