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What is Data packaging?

Data packaging refers to the process of structuring and formatting data for easy storage, retrieval, and exchange. It ensures that datasets are standardized, properly labeled, and compatible with various analytical tools, enhancing usability in AI training, big data processing, and regulatory reporting.

Data re-identification
Data re-identification is the process of reversing data anonymization techniques to identify individuals within a dataset. It poses privacy risks, as previously de-identified data can be matched with external sources to reveal sensitive personal information. This issue is addressed by privacy regulations such as GDPR, which impose strict penalties for unauthorized re-identification.
EPrivacy Directive
The EPrivacy Directive is an EU regulation governing online privacy, electronic communications, and data tracking practices. It requires companies to obtain user consent for cookies and digital marketing activities while protecting individuals’ rights to confidentiality in telecommunications and online services.
Distributed Computing
Distributed computing is a system architecture where computing resources are spread across multiple machines, working together to process tasks efficiently. It enables parallel processing, fault tolerance, and scalability, making it ideal for handling large-scale applications such as cloud services, big data analytics, and blockchain networks. Technologies like Hadoop, Kubernetes, and distributed databases power modern distributed computing environments.

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