Se ha denunciado esta presentación.
Utilizamos tu perfil de LinkedIn y tus datos de actividad para personalizar los anuncios y mostrarte publicidad más relevante. Puedes cambiar tus preferencias de publicidad en cualquier momento.

Supply realistic and safe data to Dev/Test fast with SQL Provision

50 visualizaciones

Publicado el

In this webinar, Redgate’s Anderson Rangel gives a practical demo to highlight the importance of SQL Provision as a part of your Database DevOps story and how it can accelerate your database delivery processes while helping you to stay compliant.
The session covers:
• Provisioning pre-masked environments to ensure the safe distribution of test data
• Creating full copies of databases in seconds that take up a tiny amount of disk space
• Automating database provisioning as part of Compliant Database DevOps
• Establishing a simple, repeatable, transparent, and auditable process.

Publicado en: Software
  • Sé el primero en comentar

  • Sé el primero en recomendar esto

Supply realistic and safe data to Dev/Test fast with SQL Provision

  1. 1. Supply realistic and safe data to Dev/Test fast with SQL Provision
  2. 2. Photo Your Presenter Anderson.rangel@red-gate.com Anderson Rangel Pre-Sales Engineer /in/anderson-rangel
  3. 3. Agenda
  4. 4. Compliance and Auditing
  5. 5. Software teams want to use Production data
  6. 6. Most organizations do ’copy-down’ live data
  7. 7. Global Data Protection Laws https://www.dlapiperdataprotection.com/
  8. 8. Rising tide of data breaches
  9. 9. How can I protect my data? SQL Data Masker
  10. 10. Don’t let Time and Space* (*man-hours and storage constraints) hold you back
  11. 11. Challenges and benefits
  12. 12. Self-Provisioning
  13. 13. SQL Clone It is not magic, but it sure feels like it!
  14. 14. Automating database provisioning as part of Compliant Database DevOps
  15. 15. Prepare database for secondary use Replace personal data Remap permissions Update internal reference data PROVISIONING Sensitive Data masked Stay compliant and use production-like data in development
  16. 16. Shift away from Shared to Dedicated Development Environments

×