Airbnb Data Warehouse Schema - Data Engineering Mock Interview скачать в хорошем качестве

Airbnb Data Warehouse Schema - Data Engineering Mock Interview

Join Exponent’s Data Engineering Interview Course: https://bit.ly/3BwDBpw In this video, we dive into data modeling for Airbnb, focusing on building a star schema model for analytical purposes. The discussion covers capturing metrics such as customer satisfaction and business profitability through key fact tables like Booking, Revenue, and Review, while exploring important dimensions such as user, listing, and location to optimize Airbnb’s operational insights. Want to practice peer-to-peer mock interviews? https://bit.ly/3Xmj8wq Watch other mock interviews from Exponent: Netflix Clickstream Data Pipeline:    • Data Engineering Interview - Netflix ...   Probability, P-value and Confidence Intercals:    • Probability, P-Value and Confidence I...   Retry Transaction ft. Paypal Data Scientist:    • Stripe Data Science Mock Interview: R...   Amazon Data Science Interview: Linear Regression:   • Amazon Data Science Interview: Linear...   👉 Subscribe to our channel: http://bit.ly/exponentyt 🕊️ Follow us on Twitter: http://bit.ly/exptweet 💙 Like us on Facebook for special discounts: http://bit.ly/exponentfb 📷 Check us out on Instagram: http://bit.ly/exponentig 📹 Watch us on TikTok: https://bit.ly/exponenttiktok ABOUT US: Did you enjoy this interview question and answer? Want to land your dream career? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview. Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others. Our courses include interview lessons, questions, and complete answers with video walkthroughs. Access hours of real interview videos, where we analyze what went right or wrong, and our 1000+ community of expert coaches and industry professionals, to help you get your dream job and more!