This introductory course lays the groundwork for understanding the critical intersection of security and privacy within the realm of Big Data. Here’s what you can expect to learn:

• The Big Data Landscape: Gain a foundational understanding of Big Data concepts, including data volume, variety, velocity, and the technologies involved in processing and analyzing vast datasets.
• Security Fundamentals: Establish a solid base in core security principles. This will likely cover topics like data confidentiality, integrity, and availability (CIA triad), access control mechanisms, and common security threats.
• Cryptographic Techniques: Explore the role of cryptography in safeguarding Big Data. You might delve into concepts like encryption, decryption, hashing, and digital signatures, crucial for securing data both at rest and in transit.
• Access Control Mechanisms: Learn how to control access to Big Data resources effectively. This involves understanding different access control models (e.g., Role-Based Access Control) and implementing them within Big Data environments.
• Data Governance and Privacy Regulations: Gain an initial grasp of data governance frameworks and relevant privacy regulations that influence how Big Data is handled. This might involve exploring concepts like data ownership, data lineage, and accountability.