Case Study – GetTaxi

The video tutorial discusses the Get Taxi company, which connects users with taxi drivers on demand. It outlines the business requirements, such as matching users with nearby drivers and implementing surge pricing. The tutorial explains how to use Kafka for data processing, including user and taxi position topics, and proposes an architecture for handling high-volume data. It also covers the development of a search pricing model using Kafka streams and the importance of data analytics, suggesting Amazon S3 for storage. The tutorial emphasizes the need for efficient data handling and retention strategies.

Explain the significance of having separate topics for user position and taxi position.

What additional data sources could enhance the accuracy of the pricing model?