Final answer:
NoSQL databases are best for handling diverse and unstructured data, relational databases are ideal for structured data and complex querying. Both NoSQL and relational databases offer features for distributing data and increasing redundancy. Relational databases are best for scenarios that require strong data consistency.
Step-by-step explanation:
1. Jody's scenario, where a wide variety of sources need to be analyzed for big data, would be best suited for a NoSQL database.
NoSQL databases are designed to handle unstructured and semi-structured data, making them ideal for handling large and diverse datasets.
2. Morgan's scenario, where tables are created to hold transaction records for analysis of customer purchase patterns, would be best suited for a relational database.
Relational databases are well-suited for structured data and offer strong data integrity and performance for transactions and complex querying.
3. Bailey's scenario, where the company database is distributed across several servers for increased availability and resiliency, could be implemented using either a NoSQL or a relational database.
Both types of databases offer features to distribute data and increase redundancy, but the specific implementation would vary depending on the database management system chosen.
4. Olivia's scenario, where the reduced amount available in her bank account is immediately visible after a withdrawal, would be best suited for a relational database.
Relational databases guarantee strong data consistency and can handle frequent read and write operations efficiently.