FSD Secure Database Development
FSD Secure Database Development
- discover the key concepts covered in this course
- identify security planning methods and common database security and data breach concerns
- describe best practices for using DB logs to analyze for security and data breaches
- describe the OWASP security list and the benefits of using this list during software development and deployment
- describe how to incorporate data security testing in the CI/CD pipeline
- identify available data platforms and the strengths and weaknesses of each platform
- install and configure MySQL database locally
- secure a Microsoft SQL Server deployment
- harden a local PostgreSQL installation
- secure a MongoDB Atlas cloud database deployment
- harden a deployment of Apache Cassandra
- deploy and secure a SQL database on Azure
- create a MySQL instance and database using Google Cloud
- summarize the key concepts covered in this course
Learners can explore security planning methods and common security and data breach concerns in this 14-video course. Discover best practices for logging and monitoring data security breaches for full stack development, the OWASP best practices, and how to integrate security into the CI/CD pipeline. Key concepts covered in this course include security planning methods and common database security and data breach concerns; best practices for using DB logs to analyze for security and data breaches; and the OWASP security list and its benefits during software development and deployment. Learn how to incorporate data security testing into the CI/CD pipeline; learn the available data Functional Specification Document (FSD) platforms and strengths and weaknesses of each platform; and learn how to install and configure MySQL database locally. Next, learn how to secure a Microsoft SQL Server deployment; harden a local PostgreSQL installation; and secure a MongoDB Atlas cloud database deployment. Finally, learn to harden a deployment of Apache Cassandra; deploy and secure a SQL database on Azure; and create a MySQL instance and database using Google Cloud.