Using MongoDB for Social Media Analytics
Introduction : Social media sites generate massive volumes of data from user interactions, posts, comments, likes, and shares. Analyzing this data is critical for organizations to understand user behavior, sentiment analysis, trend identification, and tailored advertising. Building a social media analytics platform is a realistic example of using non-relational data storage (Pham, 2023). Data Model: For this use case, a document-oriented database like MongoDB is well-suited due to its flexibility and scalability (MongoDB, n.d.). The data model can be structured as follows: 1. User Document: _user_id_: Unique identifier for each user _name_: User's name _email_: User's email address _birthdate_: User's date of birth _location_: User's geographical location _friends_: Array of user IDs representing the user's fri...