Data Security for Engineers: Gotchas, Techniques and Solutions
As organizations ramp up investment in data engineering, securing data becomes an urgent concern, but securing data differs vastly from securing applications and infrastructure. This guide is tailored to help engineers navigate the distinct needs and nuanced challenges of securing data-centric systems. Learn
- The unique needs and nuances of securing databases, data lakes, and data products
- Various data security controls, including real-time monitoring, data classification, and more
- How to overcome common pitfalls that arise when implementing particular data security controls
- Effective techniques for composing various solutions, such as Database Activity Monitoring (DAM) tools, Privileged Access Management (PAM) tools, and more
Read this white paper to help your organization implement a robust data security strategy.