Introduction
To enhance Snowflake's data sharing capabilities and make collaboration easier, we need to dive deep into the current user experience, identify pain points, and develop innovative solutions that align with Snowflake's core strengths in data management and analytics. I'll approach this challenge systematically, focusing on user needs, technical feasibility, and business impact.
Step 1
Clarifying Questions (5 mins)
Why it matters: Identifies the core value proposition and areas for improvement Expected answer: Cross-department analytics, data monetization, and partner ecosystem building Impact on approach: Would focus on enhancing features that support these primary use cases
Why it matters: Pinpoints specific areas where we can make the most impactful improvements Expected answer: Security concerns, complex setup processes, and limited granular access controls Impact on approach: Would prioritize solutions addressing these key pain points
Why it matters: Helps determine if we need to optimize for large-scale sharing or focus on improving small team collaboration Expected answer: Wide range, from small team collaborations to enterprise-wide data sharing involving terabytes of data Impact on approach: Would design scalable solutions that work well for both small and large-scale sharing scenarios
Why it matters: Identifies core strengths to build upon and differentiate further Expected answer: Ease of setup for secure data sharing, near-zero copy architecture, and real-time data access Impact on approach: Would focus on enhancing and expanding these differentiators
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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