The practice of data management is one that requires technical acumen, but there are also many policy and regulatory issues that inform and influence the design of our systems. With the introduction of legal frameworks such as the EU GDPR and California’s CCPA it is necessary to consider how to implement data protectino and data privacy principles in the technical and policy controls that govern our data platforms. In this episode Karen Heaton and Mark Sherwood-Edwards share their experience and expertise in helping organizations achieve compliance. Even if you aren’t subject to specific rules regarding data protection it is definitely worth listening to get an overview of what you should be thinking about while building and running data pipelines.
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- Your host is Tobias Macey and today I’m interviewing Karen Heaton and Mark Sherwood-Edwards about the idea of data protection, why you might need it, and how to include the principles in your data pipelines.
- How did you get involved in the area of data management?
- Can you start by explaining what is encompassed by the idea of data protection?
- What regulations control the enforcement of data protection requirements, and how can we determine whether we are subject to their rules?
- What are some of the conflicts and constraints that act against our efforts to implement data protection?
- How much of data protection is handled through technical implementation as compared to organizational policies and reporting requirements?
- Can you give some examples of the types of information that are subject to data protection?
- One of the challenges in data management generally is tracking the presence and usage of any given information. What are some strategies that you have found effective for auditing the usage of protected information?
- A corollary to tracking and auditing of protected data in the GDPR is the need to allow for deletion of an individual’s information. How can we ensure effective deletion of these records when dealing with multiple storage systems?
- What are some of the system components that are most helpful in implementing and maintaining technical and policy controls for data protection?
- How do data protection regulations impact or restrict the technology choices that are viable for the data preparation layer?
- Who in the organization is responsible for the proper compliance to GDPR and other data protection regimes?
- Downstream from the storage and management platforms that we build as data engineers are data scientists and analysts who might request access to protected information. How do the regulations impact the types of analytics that they can use?
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
- Thank you for listening! Don’t forget to check out our other show, Podcast.__init__ to learn about the Python language, its community, and the innovative ways it is being used.
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- Data Protection
- This Is DPO
- Intellectual Property
- European Convention Of Human Rights
- CCPA == California Consumer Privacy Act
- PII == Personally Identifiable Information
- Privacy By Design
- US Privacy Shield
- Principle of Least Privilege
- International Association of Privacy Professionals
- Data Provenance
- Chief Data Officer
- UK ICO (Information Commissioner’s Office)
- Data Council
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