Overview
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Explore how Security as Code revolutionizes platform engineering at enterprise scale in this 14-minute conference talk from Conf42 Platform Engineering 2025. Discover the current challenges facing ETL processes and learn how generative AI provides innovative solutions to transform traditional data pipeline approaches. Examine the architecture of AI-driven ETL systems and follow a practical implementation example that demonstrates real-world application. Understand enterprise platform requirements and analyze comprehensive case studies that showcase successful deployments. Review performance metrics and measurable results that validate the effectiveness of Security as Code implementations. Master implementation strategies while addressing key challenges and considerations for large-scale platform engineering environments. Gain insights into how artificial intelligence can streamline security integration within development workflows and enhance overall platform reliability and scalability.
Syllabus
00:00 Introduction and Background
00:52 Current Challenges in ETL Processes
02:23 How Generative AI Solves ETL Challenges
03:57 Architecture of AI-Driven ETL Systems
05:43 Practical Example of AI-Driven ETL
07:01 Enterprise Platform Requirements
08:27 Real-World Case Studies
11:26 Performance Metrics and Results
13:57 Implementation Strategy
15:24 - Challenges and Considerations
16:37 - Summary and Conclusion
Taught by
Conf42