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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...