Talking Tech for Privacy Pros

This white paper series offers privacy professionals an accessible, technology‑focused primer designed to strengthen their understanding of core technical concepts that underpin modern privacy work. It explores foundational areas of the privacy technology landscap,ranging from computer science principles to cloud computing fundamentals and the structure and function of distributed databases.

The series helps bridge the gap between legal and technical domains, equipping privacy practitioners with the context needed to better collaborate with engineering teams, evaluate technical safeguards, and understand how data is stored, processed, and secured.

This series is an ideal starting point for privacy pros looking to deepen their technical literacy and strengthen their ability to engage in cross‑functional discussions about data protection.

Series Overview

Coming Down from the Cloud
This white paper introduces some of the common terms used when describing cloud applications and discuss some basic principles of software architecture, the abstract organization of software that are integral to a functional and secure cloud solution.
View white paper

The Organic Chemistry of Computer Science
This white paper explores the organic chemistry of computer science, specifically data structures. When it comes to databases, privacy professionals care most about design decisions and systems architecture, as well as how databases are used and maintained, and less about the individual variables and other minutia involved in creating them.
View white paper

Distributed Databases and Principles of Disaster
This piece analyzes major facets of modern database design and management with a focus on the large internet-based database systems that define modern technology, including distributed databases, errors and backups.
View white paper

Databases 101
This part in the series looks at the basics of the art of database design, with an eye towards helping the busy privacy professional understand at a glance what data an organization is storing and how, and provide some suggestions for ensuring the data is stored consistently and accurately.
View white paper