Creating Data Model, Managing Data Storage & Data Partitioning

Effective data modeling for a system involves identifying main entities and attributes without requiring extensive diagrams. When managing data storage, the choice between relational databases and NoSQL options hinges on data volume and specific use cases, with NoSQL databases like Cassandra suitable for large, varied datasets. For transactional processes like ordering, traditional databases are preferred, while media can be stored using object storage services like Amazon S3. As data scales, partitioning strategies based on factors like area code or RestaurantId become essential, each with its own advantages and drawbacks that must be carefully considered.