Big data systems need a guide to be made safe, because ultimately they are a gateway to enhanced knowledge.
In this book, Davi Ottenheimer takes you through the foundations for engineering quality into big data systems. He uses illustrative examples and anecdotes to present an engaging picture of what it takes to protect data and privacy.
Although all technology follows a long arc with many dependencies, there are novel and interesting problems in big data that need special attention and solutions.
In this book you will learn the theory and principles for defending against attack across six vectors:
- Network and Systems Security
- Data Protection
- Vulnerability Management
- Access Control
- Security Monitoring
- Security Policies