Data pipelines are becoming increasingly complex due to AI and machine learning, and by the end of the decade, they will expand three to four times in size.
To ensure data pipelines operate reliably, there must be a unification of workflows across DevOps, developer, and database teams that fosters feedback loops and continuous optimization.
Returning to the core tenets of DevOps entails establishing a tight feedback loop between developers and operations, allowing quick identification and resolution of production issues.
As data and development pipelines converge, it’s crucial to apply best practices and principles from both realms to ensure security, reliability, and compliance.
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