Understanding Digital Personal Data Protection(DPDP) Act in India — Data Engineering Perspective!

With the rise of digital technologies and the exponential growth of data, the need for robust data protection measures has never been more pressing. In response to this imperative, India will soon introduce the Digital Personal Data Protection (DPDP) Act, aiming to safeguard the privacy and security of individuals’ personal data. As data engineering leaders, it’s crucial for us to understand the implications of this legislation and adapt our practices accordingly. In this article, we’ll explore the key provisions of the DPDP Act and examine the changes required from a data engineering perspective, supplemented with code examples to illustrate implementation strategies.

Understanding the DPDP Act

The DPDP Act lays down comprehensive guidelines for the collection, storage, processing, and transfer of personal data in India. It empowers individuals with greater control over their data and imposes stringent obligations on organizations handling such data.

DPDP act in India will be implemented very soon post which companies will have very little time to make sure they are covered from all data perspectives.

Key provisions include:

Data Minimization

Organizations must collect only the minimum amount of personal data necessary for the intended purpose and ensure that it is not retained longer than required.