The specialization “Large-Scale Database Systems” is intended for post-graduate students seeking to develop advanced skills in distributed database systems, cloud computing, and machine learning. Through three comprehensive courses, you will dive into key topics such as distributed database architecture, transaction management, concurrency control, query optimization, and data reliability protocols, equipping you to handle complex data environments. You will also gain hands-on experience with cloud computing concepts, including Hadoop and the MapReduce framework, essential for large-scale data processing. In addition, you'll explore machine learning applications such as collaborative filtering, clustering, and classification techniques, learning to optimize these models for scalable analysis in distributed systems.
By the end of the specialization, you will have developed an understanding of optimizing large-scale data warehouses and implementing machine learning algorithms for scalable analysis. This specialization will prepare you to design and optimize high-performance, fault-tolerant data solutions, making you well-equipped to work with large-scale distributed systems in industries like data analytics, cloud services, and machine learning development.
