This week, I learned how to connect a Java program to a MySQL database using JDBC. I practiced creating a connection, inserting new data, selecting records, and managing transactions with commit and rollback. I also learned how to handle SQL exceptions and make the program give clear error messages when something goes wrong, such as duplicate IDs or missing departments. Another important part was understanding how to add the MySQL connector JAR file or dependency in my project so the driver loads correctly. Overall, this week helped me understand how Java interacts with databases and how to make programs that safely read and write data.
This week I learned more about how MongoDB and MySQL are both powerful tools for managing data, but they serve different purposes. MySQL is a relational database that organizes data into tables with rows and columns. It uses SQL (Structured Query Language) to define and manage data, which makes it very structured and reliable. MongoDB, on the other hand, is a NoSQL database that stores data as documents in a flexible JSON-like format . It does not require a fixed schema, so it is easier to change or add new data types as needed. Both databases are similar because they can handle large amounts of data, support indexing for faster searches, and allow users to perform queries to get specific information. They are also widely used in modern applications and can be connected to programming languages like Java, Python, or C++. However, the key difference is how they store and organize data. MySQL is best when data has clear relationships, such as in school systems, banking, or employee ...
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