Course Description: Data warehouse is a new database technology that has developed rapidly in the information field in recent years. Data warehouse collects a large amount of data from enterprises. Through the analysis and processing of historical data, the data can be transformed into information, and knowledge can be mined from it to provide basis for enterprise decision-making. This course mainly introduces the data model of data warehouse, online analysis technology OLAP, cube computing and indexing technology, data mining foundation, Teradata data warehouse principle and use, etc.
Introduction to the speaker: He is currently the deputy director of the Department of Computer Science and Technology, School of Information, Renmin University of China. Have Teradata teacher qualification, as a Teradata training lecturer. At present, the main research directions are data warehouse and business intelligence, data stream management and mining, and data management in sensor networks. As the project leader, he presided over national and provincial-level projects such as the National 863 Project, the National Natural Science Foundation Project, and the key scientific and technological projects of the Ministry of Education11; Participated in 8 national, provincial and ministerial projects such as National 863 Project and National Natural Science Foundation Project; Hosted and participated in more than ten horizontal projects of other enterprises and institutions. He has won the second prize of Beijing Science and Technology Progress Award, the second prize of Science and Technology Progress Award of the Ministry of Education, the National Excellent Course Award, the Beijing Excellent Course Award and the Top Ten Teaching Models of China Renmin University. In 2005, he was selected into the New Century Excellent Talents Support Program of the Ministry of Education.
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