This course covers database design and the use of database management systems for applications. It includes extensive coverage of the relational model, relational algebra, and SQL. It also covers XML data including DTDs and XML Schema for validation, and the query and transformation languages XPath, XQuery, and XSLT. The course includes database design in UML, and relational design principles based on dependencies and normal forms.
Sponsored courses (not MOOC):
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An introduction to the intellectual enterprises of computer science and the art of programming.
This course will expand about SQL and introduce various other advanced topics, including query optimization, concurrency, data warehouses, object-oriented extensions, and XML.
This course covers database design and the use of database management systems for applications.
Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience programming massive databases.
Datenbanken bilden die Basis fast aller großen Software-Anwendungen. In Unternehmen, in der Forschung, im Web – überall entstehen riesige Datenmengen, die es gilt sicher zu speichern und die effizient abfragbar sein müssen.
This course is about building `web-intelligence' applications exploiting big data sources arising social media, mobile devices and sensors, using new big-data platforms based on the 'map-reduce' parallel programming paradigm.
This course will provide students with a general overview of databases, introducing you to database history, modern database systems, the different models used to design a database, and Structured Query Language (SQL), which is the standard language used to access and manipulate databases.