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In this data engineering mock interview, the guest tackles the task of designing a data model for a ride-sharing app. They explore key entities such as drivers, users, trips, and payments, discussing the importance of efficient data modeling for optimizing queries and performance.
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Chapters -
00:00 - Intro
01:34 - Data Model Design for Ride-Sharing App
03:08 - Data Analytics for Trip Optimization
06:44 - Driver Dimensions: Signup, Approval, Activation
11:53 - User-based vs Rider-based Blacklisting
16:42 - Trip Facts: Including Incentives and Payments
19:16 - Payment Methods, Trip Ratings, and User Feedback
24:00 - Driver and User Ratings for the Same Trip
33:06 - Geolocating Trip Offers for Profitability
36:50 - Highlights from Kajal's Interview
Watch other mock interviews from Exponent:
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- Amazon Data Science Interview: Linear Regression:https://youtu.be/PYZPmpnbUxo
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