When modeling a content management system in MongoDB, which approach best describes the handling of articles and their corresponding comments to optimize for frequent reads and occasional writes?
In the context of a MongoDB database application for an online news platform, the data modeler is tasked with optimizing the storage and retrieval of news articles that are frequently accessed by readers. The articles undergo occasional updates by the editorial team and include metadata such as publication date, author, and a set of tags. The application has a high read-to-write ratio, with the need for efficient retrieval of articles based on tags and publication dates. What data modeling strategy should be adopted to maximize query performance for retrieving articles based on metadata?
A startup is designing a new MongoDB database to store user information and their respective device data. Each user can have multiple devices, and each device can generate daily usage statistics. The startup's application needs to frequently access a user's profile and their device's latest usage statistics. Considering scalability, efficiency, and security, which data model would best suit the startup's requirements?
A mobile application tracks user activities, interactions, and engagement metrics to offer personalized content and recommendations. To optimize the application's performance, particularly for generating monthly engagement reports and user insights, a data modeler is tasked with designing an efficient data storage strategy. What approach should the data modeler adopt to best meet these requirements?