StanfordOnline: Databases: Advanced Topics in SQL


This course is broad and practical, covering indexes, transactions, constraints, triggers, views, and authorization, all in the context of relational database systems and the SQL language. This course builds on concepts introduced in Databases: Relational Databases and SQL and is recommended for learners seeking to advance their understanding and use of relational databases.

What you’ll learn

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

What’s included

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