Building Self-Service Data Platforms

Building Self-Service Data Platforms

Conf42 via YouTube Direct link

03:02 Platform Engineering and Infrastructure

7 of 16

7 of 16

03:02 Platform Engineering and Infrastructure

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Classroom Contents

Building Self-Service Data Platforms

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  1. 1 00:00 Introduction and Speaker Background
  2. 2 00:05 Expertise in Data Handling and Governance
  3. 3 00:41 Experience with ETL Tools and Team Management
  4. 4 01:35 Current Projects and Cloud-Based Solutions
  5. 5 01:49 Database Technologies and Automation
  6. 6 02:50 Building Self-Service Data Platforms
  7. 7 03:02 Platform Engineering and Infrastructure
  8. 8 04:55 Modern Data Platform Challenges
  9. 9 08:20 Metadata-Driven Pipeline Architecture
  10. 10 12:57 Integration with CI/CD and DevOps
  11. 11 14:58 Cloud-Native API Integration
  12. 12 17:01 Apache Airflow and Python Integration
  13. 13 19:02 Infrastructure as Code for ETL Development
  14. 14 20:11 Data Quality and Testing Strategies
  15. 15 21:15 Monitoring and Observability Standards
  16. 16 24:39 Governance, Compliance, and Conclusion

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