Explore the security and privacy challenges of Big Data in this 38-minute LASCON conference talk. Learn why Big Data requires a different approach to protection compared to traditional data, while still sharing commonalities with existing methodologies. Discover best practices and recommended technical controls to secure your organization's valuable information assets. Gain insights into Big Data history, sources, value, and trends, as well as key technologies like Hadoop and Data Lake architectures. Understand the Big Data lifecycle, privacy ethics, and what constitutes personal information. Examine security architectures, data flows, and monitoring techniques. Delve into data obfuscation, redaction, and information cataloging strategies. Walk away with essential keys to success in securing and protecting your organization's Big Data projects.
Overview
Syllabus
Intro
The surfing analogy
The history of big data
Sources of big data
The value of big data
Trends in big data
Technology
Hadoop
Sample Big Data Architecture
Data Lake vs Data Reservoir
Security Privacy Considerations
Privacy Ethics
Big Data Life Cycle
Privacy and Security
What is considered personal PII
Big Red Caution
Architecture
Security
Security Architecture
Data Flows
Privacy Security
Data Activity Monitoring
Guardium
Blocking
Data obfuscation
Redaction
Information Catalog
Keys to Success
Questions
Taught by
LASCON
