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Big data has become a great asset for many organizations, promising improvedoperations and new business opportunities. However, big data has increasedaccess to sensitive information that when processed can directly jeopardize theprivacy of individuals and violate data protection laws. As a consequence, datacontrollers and data processors may be imposed tough penalties fornon-compliance that can result even to bankruptcy. In this paper, we discussthe current state of the legal regulations and analyze different dataprotection and privacy-preserving techniques in the context of big dataanalysis. In addition, we present and analyze two real-life research projectsas case studies dealing with sensitive data and actions for complying with thedata regulation laws. We show which types of information might become a privacyrisk, the employed privacy-preserving techniques in accordance with the legalrequirements, and the influence of these techniques on the data processingphase and the research results.

Privacy Issues and Data Protection in Big Data: A Case Study Analysis under GDPR