Overview
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Learn how to optimize cloud data engineering workflows using Golang in this 28-minute conference talk from Conf42 Golang 2025. Explore the fundamentals of cloud data engineering and discover how major cloud platforms handle data processing at scale. Understand the key challenges and metrics involved in modern data management, from latency and throughput to cost optimization. Dive into the Infrastructure as Code (IaC) revolution and see how it transforms data infrastructure deployment and management. Examine modern data pipeline architecture patterns and learn best practices for building scalable, maintainable data systems. Master storage optimization techniques that can significantly reduce costs while improving performance across different cloud storage tiers. Discover edge computing advancements and their impact on data processing latency and user experience. Analyze technology convergence trends and understand how emerging technologies are reshaping the data engineering landscape. Develop effective cloud migration strategies for transitioning legacy data systems to modern cloud-native architectures while minimizing downtime and risk.
Syllabus
00:00 Introduction to Cloud Data Engineering
00:33 Cloud Platforms and Examples
01:58 Challenges and Metrics in Data Management
05:41 Infrastructure as Code IaC Revolution
08:54 Modern Data Pipeline Architecture
11:54 Storage Optimization Techniques
21:48 Edge Computing Advancements
23:24 Technology Convergence and Impact
25:25 Cloud Migration Strategy
27:55 Conclusion and Final Thoughts
Taught by
Conf42