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Stanford University - Introduction to Databases

Stanford University - Introduction to Databases
English | Size: 1.27 GB
Category:
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. Many additional key database topics from the design and application-building perspective are also covered: indexes, views, transactions, authorization, integrity constraints, triggers, on-line analytical processing (OLAP), and emerging "NoSQL" systems.


"Stanford University - Introduction to Databases"

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Stanford University - Introduction to Databases

Stanford University - Introduction to Databases
English | Size: 1.27 GB
Category:
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. Many additional key database topics from the design and application-building perspective are also covered: indexes, views, transactions, authorization, integrity constraints, triggers, on-line analytical processing (OLAP), and emerging "NoSQL" systems.


Taught by Professor Jennifer Widom, the curriculum draws from Stanford's popular Introduction to Databases course.

Content:

1. Introduction
2. Relational Databases
3. XML Data
4. Relational Algebra
5. SQL
6. Relational Design Theory
7. Querying XML
8. Unified Modeling Language
9. Indexes
10. Constraints and Triggers
11. Transactions
12. Views
13. Authorization
14. Recursion
15. On-Line Analytical Processing
16.NoSQL Systems

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