An Agile Data Doctrine for a Secure Data Lake
Released: 04/25/2023
Data is now a significant asset in most organizations around the globe, whether government, business, or not-for-profit; the inevitable shift toward its utilization is paramount. As data has grown in volume, variety, velocity, and variability, the technology required to ensure its security, privacy, and cost-effective collection, storage, and retrieval is vital.
This report from CSA’s Top Threats Working Group and NTT DATA looks to address these concerns by examining how the critical points of data security and data privacy within a data lake are applied through the creation and fundamental principle of a data doctrine.
Key Takeaways:
- What stands in the way of “good” ongoing data management of a data lake.
- The shared principles and responsibility of the “data community” to support the adoption of an established data doctrine.
- How to apply the tenets of trust, lineage traceability, usage tracking, enabling discovery, data security, data obfuscation, auditability, performance, troubleshooting, retention/archiving/disposal, and monitoring to defined policies and implementation rules to support a data doctrine.
- The significance of governance controls, roles, and responsibilities to adapt an agile data lake doctrine framework.
Topics:
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Best For:
- CISOs
- VPs
- Data Managers
- All Members of an Identified Data Community
