Master AI and Machine Learning: From Neural Networks to Applications
Google Data Analytics, IBM AI & Meta Marketing — All in One Subscription
Overview
Syllabus
00:00 Introduction and Speaker Background
00:42 Overview of Modern Data Pipeline Architecture
01:46 Limitations of Traditional ETL Systems
02:50 The Cloud Storage Revolution
04:29 Modern Architectural Patterns
05:50 Medallion Architecture Explained
06:45 Comparing Lambda and Kappa Architectures
07:40 The Lakehouse Paradigm
08:25 Data Mesh: A Domain-Oriented Approach
09:16 Evolution of Data Pipeline Tools
11:18 Critical Design Considerations
13:29 Emerging Trends in Data Processing
15:44 Migration Strategies for Modernization
16:56 Key Insights and Recommendations
18:22 Conclusion and Final Thoughts
Taught by
Conf42