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Streamlining Data Pipeline Reliability: The Write-Audit-Publish Pattern

Introduction: Why Safe Data Pipelines Matter In the world of data engineering, there’s a constant challenge we all face: how do we ensure our production data remains reliable and error-free when deploying updates? Anyone who’s experienced the cold sweat of a bad deployment affecting critical business data knows this pain all too well. Enter the Write-Audit-Publish pattern—a robust approach that can significantly reduce the risk of data pipeline failures. This pattern, which shares DNA with the well-known Blue-Green deployment strategy from software engineering, creates a safety net that can save your team countless hours of troubleshooting and emergency fixes.

Sunday, May 18, 2025 Read
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Maximizing Data Impact: A Guide to Effective Data Engineering

Introduction Creating impact goes far beyond writing efficient code or building robust pipelines. It’s about understanding how your work translates into tangible value for stakeholders across the organization. Types of Impact Our work forms the backbone of data-driven decision making in organizations. However, measuring and communicating this impact isn’t always straightforward. If you feel your work isn’t making a meaningful difference, it might be time to pivot your focus or approach. Understanding the various ways we create value helps guide these decisions and ensures we’re contributing in ways that matter.

Saturday, February 15, 2025 Read
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Mastering Data Engineering: Insights and Best Practices

Introduction I have been working with Data for a bit over 17 years now, I have seen it evolve from its nascent stages to a cornerstone of the tech industry. The journey has been nothing short of revolutionary, impacting businesses and society at large. The evolution and the role of a data engineer have expanded, requiring not just technical skills, but a deep understanding of business, security, and the human element within technology.

Saturday, March 30, 2024 Read