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Security Foundations: People and Processes

Security and Privacy

People

The Power of Negative Thinking

Processes

The Principle of Least Privilege

Shared Responsibility in the Cloud

Security Technology and Implementation

Technology

Encryption

Encryption at rest

Encryption over the wire

Logging, Monitoring, and Alerting

Network Access

🎮 Crossword: Security Terminology

The Future of Data Engineering

The Data Engineering Lifecycle Isn't Going Away

The Decline of Complexity and the Rise of Easy-to-Use Data Tools

"Enterprise" Data Engineering

Moving Beyond the Modern Data Stack, Toward the Live Data Stack

Streaming Pipelines and Real-Time Analytical Databases

🎮 Pixel Quest: Future Trends

Quiz

Knowledge Check: Security Foundations

Knowledge Check: Encryption and Network Security

Knowledge Check: Security Operations

Knowledge Check: Future of Data Engineering

Final Assessment: Chapter 10 & 11

Survey

Course Feedback Survey

Secure, resilient data platforms start with people and processes—and are reinforced by the right technology. Data Engineering Security: Principles, Technology, and Proactive Culture is a practical, outcomes-driven course that helps data engineers, analytics engineers, SREs, and platform teams build and operate trustworthy data systems. You’ll learn how security and privacy intersect in real projects, why security must be a daily habit, and how to foster a culture where everyone plays a role in defense. Then, you’ll translate principles into practice: encryption at rest and in transit, identity and access management with least privilege, VPCs and firewalls, logging/monitoring/alerting, and cloud shared responsibility. The course also looks ahead—streaming pipelines, real-time analytics, simplified managed services, and the shift toward a live data stack—so you can future-proof your decisions. By the end, you’ll be able to design secure-by-default data workflows, reduce blast radius, meet compliance expectations, and respond to incidents with confidence. Through interactive knowledge checks and bite-sized modules, you’ll turn security from a checklist into an embedded operating mindset across your team and tooling.

Data Engineering Security: Principles, Technology, and Proactive Culture

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            <p>In the modern data landscape, security is no longer a peripheral concern or a final checkbox before deployment; it is a fundamental pillar of the data engineering lifecycle. This course explores the critical intersection of security and privacy, emphasizing that robust protection stems from a continuous habit rather than a one-time audit. By examining the human element, we delve into how a proactive security culture and the application of "negative thinking"—adopting an attacker’s mindset—can identify vulnerabilities before they are exploited. We also establish the importance of enforceable processes, such as the Principle of Least Privilege and the Shared Responsibility Model, which ensure that every stakeholder understands their specific role in safeguarding sensitive information within cloud environments.</p>

<p>Beyond the human and procedural foundations, this curriculum provides a deep dive into the technological implementations necessary for a secure data environment. You will examine the mechanics of encryption both at rest and over the wire, while learning to implement rigorous logging, monitoring, and network access controls to minimize the blast radius of potential breaches. Finally, the course looks toward the horizon of the profession, analyzing how the rise of managed services, the "Live Data Stack," and real-time streaming pipelines are reshaping the responsibilities of the data engineer. By bridging foundational security principles with future industry trends, this course prepares you to build resilient, enterprise-grade data infrastructures that are secure by design and ready for the challenges of tomorrow.</p>
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