In database systems, indexes are used to make queries faster by helping the system find data quickly, similar to how a book index helps you find pages faster. However, the author says an index can still be “slow” when the database needs to do extra work after using the index. For example, if the query matches many rows or if the data is stored in different parts of memory, the database must open and read each row separately, which takes time. This idea connects to what I’ve learned in computer science and my experience with systems like SAP and MES, where performance depends not only on structure but also on how data is accessed. So, a “slow index” means the index works, but the process of fetching all the related data makes the query slower overall.
My educational goal in the Computer Science program is to become a skilled software engineer who can design and build innovative, efficient software solutions using both strong programming skills and AI tools responsibly. I want to complete my degree with a solid understanding of core computer science principles, such as algorithms, data structures, and system design, so I can solve complex problems without relying only on AI. After graduation, I aim to work on projects that improve people’s lives by combining creativity and technology, constantly learning new skills to stay ahead in the fast-changing tech world. This goal excites me because I see myself growing as a confident, adaptable developer who uses both traditional knowledge and AI to create a meaningful impact. My career goal is to be a software engineer who makes intelligent and helpful technology for people. I want to work at a company that uses AI and new tools carefully and responsibly. I want to grow as a leader who helps...
Comments
Post a Comment