Which of the following is a common challenge faced in Big Data computing?

Data security and privacy concerns are significant challenges in Big Data computing due to the vast amounts of sensitive and personal information that are often processed. As organizations collect and analyze larger datasets, the potential for data breaches and unauthorized access increases, leading to serious implications for individuals and companies alike. Ensuring that data is securely stored, transmitted, and processed is paramount, as the repercussions of failing to do so can include legal penalties, loss of customer trust, and reputational damage.

Moreover, regulations such as GDPR or HIPAA impose strict requirements on how data must be handled, which adds another layer of complexity to managing Big Data. This necessity for effective security measures involves implementing robust encryption, access controls, and compliance frameworks, which can be resource-intensive and challenging to integrate effectively into existing systems. Addressing these concerns is crucial for ensuring the ethical and legal use of data within an organization.

In contrast, while limitations in storage capacity, a lack of necessary hardware resources, and limited access to data visualization tools can be issues that arise in the context of Big Data, they are often more technical and operational in nature, and organizations often find ways to mitigate these through investment and appropriate technology choices.