Databases: Semistructured Data

Stanford's online offering in Databases is now available as a set of five self-paced courses:

Databases: Relational Databases and SQL

• Introduction to the relational model and concepts in relational databases and relational database management systems
• Comprehensive coverage of SQL, the long-accepted standard query language for relational database management systems

Databases: Advanced Topics in SQL (prerequisite: Relational Databases and SQL)

• Creating indexes for increased query performance
• Using transactions for concurrency control and failure recovery
• Database constraints: key, referential integrity, and "check" constraints
• Database triggers
• How views are created, used, and updated in relational databases
• Authorization in relational databases

Databases: OLAP and Recursion

• Star schemas, the data cube concept, and On-Line Analytical Processing (OLAP) features in relational databases including the Cube and Rollup operators
• The SQL standard for queries over recursively-defined relations

Databases: Modeling and Theory

• Relational algebra – the algebraic query language that provides the formal foundations of SQL
• Dependency theory and normal forms in relational databases as the basis of schema design
• The data-modeling component of the Unified Modeling Language (UML), how UML diagrams are translated to relations

Databases: Semistructured Data

• The XML model for semistructured and self-describing data, including DTDs and some features of XML Schema
• The JSON model for human-readable structured or semistructured data
• The XPath language for processing XML data, and many features of the more advanced XQuery language
• An introduction to the XSLT rule-based language for querying and transforming XML data