CMU Intro to Database Systems

The "CMU Intro to Database Systems" course is a comprehensive introduction to the fundamental concepts of database systems. The course is designed to provide students with an understanding of the principles and practices of database design, implementation, and management. The course covers a wide range of topics, including the basics of data modeling, SQL programming, transaction processing, and query optimization. It also covers advanced topics, such as distributed databases, data warehousing, and data mining. Throughout the course, students will work with popular database management systems, such as MySQL and PostgreSQL, to gain hands-on experience with database design and implementation. They will learn how to use SQL to create, update, and query databases, as well as how to optimize queries for better performance. In addition to learning how to work with databases, students will also learn how to design and implement robust transaction processing systems that ensure data consistency and integrity. They will learn about the ACID properties of transactions and how to design systems that support them. The course also covers the basics of distributed databases, including the challenges of distributed data management and the strategies for achieving scalability and fault tolerance. Students will learn about the different types of distributed databases, such as peer-to-peer and client-server architectures, and the tradeoffs associated with each. Data warehousing and data mining are also covered in the course, providing students with an understanding of how to store, manage, and analyze large volumes of data. They will learn how to use tools such as OLAP cubes and data mining algorithms to extract insights and knowledge from data. Overall, the "CMU Intro to Database Systems" course is a comprehensive introduction to the principles and practices of database design and implementation. It provides students with a strong foundation in database systems that they can build on in future courses and in their professional careers. Author: CMU Database Group