Database Management Systems DBMS Oracle and MySQL

Gaining expertise in popular Database Management Systems (DBMS) like Oracle and MySQL is critical for women in database management. Oracle is renowned for its advanced features and scalability, making it suitable for large enterprises. MySQL, on the other hand, is open-source and widely used for web applications. Understanding the intricacies of these DBMS will enable you to design, implement, and manage databases effectively in different environments.

Gaining expertise in popular Database Management Systems (DBMS) like Oracle and MySQL is critical for women in database management. Oracle is renowned for its advanced features and scalability, making it suitable for large enterprises. MySQL, on the other hand, is open-source and widely used for web applications. Understanding the intricacies of these DBMS will enable you to design, implement, and manage databases effectively in different environments.

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Niruta Talwekar
Staff Data Engineer at Meta Platforms

When we talk about learning databases, it's not just about understanding SQL or how to create tables. What’s equally important—but often overlooked—is learning how data is actually stored and retrieved on the server side. Think of it like this: knowing how to drive is great, but understanding how the engine works helps you become a much better driver. Similarly, understanding the backend mechanics of data storage—how databases handle reads, writes, and how data flows through memory, disk, and cache—can massively improve the way you design and work with data systems. This is where concepts like indexing and partitioning become crucial. Indexes are like the table of contents in a book—they help the database find what it needs without flipping through every single page. Partitioning, on the other hand, helps break large datasets into smaller, more manageable chunks so the system doesn’t have to work overtime just to answer one query. When you're building apps or systems, understanding these optimizations lets you make smarter choices about which database to use, how to structure your data, and how to keep performance fast and scalable as your data grows. So yes—alongside learning database management systems (DBMS), take some time to dive into how databases actually work under the hood. It’s a game-changer.

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