The current enterprise landscape has evolved to a point where it requires to collect and store vast amounts of data for analysis. This significant increase in the pace of data collection has given rise, in the early 2000s, to the concept of big data which describes a massive collection of both structured and unstructured data so large that it becomes difficult to process through traditional database mechanisms.
Big Data Security
The increased shift towards big data owes largely in part to its ability to enhance and enable more accurate intelligent decisions and strategic business moves.
Most people view big data as strictly a quantitative measurement, but this is not the case, as it also encompasses the range of technologies used to process, organize and store all the information. As with traditional database systems, when the volume of data spikes, security concerns increase in complexity.
In this context, big data security has emerged as a term which encompasses all the strategies, measures, and tools employed by companies to safeguard both the data (in the cloud and on-premise) and the analytics processes from external attacks, theft and malicious tampering that could lead to financial and operational loss, decrease in customer trust, lawsuits, and fines.
A large portion of the tools employed in big data and smart analytics are open source. Due to their open-source nature, they are characterized by high levels of availability and customization, but as they haven’t designed with security in mind, they come with some drawbacks, which can lead to more big data security issues.
Modex BCDB is a software product that helps businesses and enterprises enhance the security of their big data systems. Blockchain technology has proven itself an ideal data storage medium when implemented correctly because it unlocks a series of features and functionalities capable of ensuring a secure data infrastructure: decentralization, transparency, real-time backup, data immutability, and integrity, in-depth information tracking.
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