Data Intelligence

GDPR: Main Content of the European Regulation

Actian Corporation

March 6, 2019

gdpr and european regulation

This article is an introduction to the General Data Protection Regulation (GDPR) in the framework of your Big Data projects.

Be careful though! This isn’t going to be about giving legal advice, but rather,  a refresher course on the changes that GDPR will make.

The Terms of the GDPR to Define

Personal Data

All information relating to a human being (or a data subject) can be used to identify that person directly or indirectly. With the arrival of the GDPR, this definition was broadened to include online data. i.e., name, photos, email addresses, bank details, social networking publications, websites, medical information, IP addresses, location data, etc.

Sensitive Data

It is personal data that directly or indirectly reveal political opinions, philosophical or religious or trade union memberships of persons, or that which is related to their health or their sexual orientation. They may only be processed with the explicit consent of individuals.

Data Processing

This broad term refers to any operations carried out on personal data, via automated or non-automated means.  Some examples of processing include collection, recording, organization, storage, use, and destruction of personal data.

Data Controller

A data controller is a person who determines– alone or jointly with others – the purposes and the means of data processing (the collecting and processing methods).

The Principles Emerging From the GDPR

Whom Does it Concern?

  • All companies located in the European Union and processing personal data, regardless of its size.
  • All companies not located in the E.U. concerning the process of personal data relating to persons located in the European Union.

The Obligation to Appoint a DPO

The GDPR created a position of Data Protection Officer (DPO). Their responsibilities include:

  • Monitor the company’s compliance with regulations
  • Be the point of contact with the Supervisory Authorities as well as those who have questions on personal data processing
  • Advise and inform the company, its employees, and any possible processors.

The Responsibility

Companies must ensure that they comply with GDPR’s obligations and be able to demonstrate compliance with its principles.

Valid Consent

The controller must be able to demonstrate that the data subject has given his or her consent.

Notification of Violations

In the case of a violation, the company is obligated to inform its Supervisory Authority within 72 hours after its discovery.

Privacy Protection From the Design Stage

The controller must implement any data protection measures (pseudonymization, minimization, etc.) from the design stage; i.e., identify the means of processing.

The Opposition to Profiling

Any person may object to the automatic processing of their personal data in order to evaluate certain personal aspects relating to a physical person (analysis, prediction, etc).

Data Portability

Any person concerned by the processing of their data can obtain from the controller a copy of their processed personal data and, where applicable,  the transfer of these data to a third party.

Sanctions

Violation of basic principles including the conditions of consent or the rights of the persons concerned will be subject to a sanction of up to 20 million or 4% of annual worldwide turnover.

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About Actian Corporation

Actian makes data easy. Our data platform simplifies how people connect, manage, and analyze data across cloud, hybrid, and on-premises environments. With decades of experience in data management and analytics, Actian delivers high-performance solutions that empower businesses to make data-driven decisions. Actian is recognized by leading analysts and has received industry awards for performance and innovation. Our teams share proven use cases at conferences (e.g., Strata Data) and contribute to open-source projects. On the Actian blog, we cover topics ranging from real-time data ingestion, data analytics, data governance, data management, data quality, data intelligence to AI-driven analytics.