Here's how you can navigate criticism and feedback post a failed data architecture initiative.
Facing a failed data architecture initiative can be a tough pill to swallow. Yet, it is a critical moment for learning and growth. Data architecture refers to the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in an organization. When such a complex system fails, it's important to navigate the ensuing criticism and feedback constructively. You're not alone in this journey; every data architect has faced setbacks. The key is to harness the feedback to refine your skills and approaches, ensuring that your next initiative is grounded in the lessons learned from past experiences.
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Priyanka ShahSolution Architect | Driving Innovation in Distributed Systems & Cloud Solutions | AWS Certified
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Garvit AryaLeading Data & Analytics Capabilities @ Google | 40 Under 40 Data Scientist
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Joy NDJAMACloud & Data Architect | Senior Data Engineer | Tech Lead Data | GCP Certified | Freelance