Introduction
I appreciate the opportunity to discuss potential improvements to Snowflake's Time Travel functionality. Time Travel is a critical feature that allows users to access historical data, which is essential for data analysis, auditing, and recovery. To address this challenge, I'll analyze key user segments, identify pain points, propose solutions, and outline metrics for measuring success. Let's dive in.
Step 1
Clarifying Questions
Why it matters: Determines if we should focus on expanding functionality or improving existing features Expected answer: Increasing adoption, especially among enterprise customers Impact on approach: Would prioritize advanced features for power users if adoption is high
Why it matters: Identifies potential gaps in our offering and opportunities for differentiation Expected answer: Some competitors offer longer retention periods or more granular recovery options Impact on approach: Would focus on addressing these specific gaps and potentially leapfrogging competitors
Why it matters: Helps balance feature improvements with potential performance and cost implications Expected answer: Time Travel can significantly impact storage costs for some customers Impact on approach: Would prioritize features that optimize storage usage and provide cost controls
Why it matters: Ensures alignment with company-wide objectives and potential synergies Expected answer: Plans to integrate Time Travel with data governance and machine learning initiatives Impact on approach: Would focus on features that support these broader strategic goals
Tip
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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