This course will introduce you to native software development on SAP HANA. SAP HANA is an in-memory data platform that is deployable as an appliance or in the cloud. At its core, it is an innovative in-memory relational database management system.
This course covers database design and the use of database management systems for applications.
"Introduction to Databases" had a very successful public offering in fall 2011, as one of Stanford's inaugural three massive open online courses. Since then, the course materials have been improved and expanded, and all materials are available for self-study. Students have access to lectures with in-video quizzes, multiple-choice quiz assignments, automatically-checked interactive programming exercises, midterm and final exams, a discussion forum, optional additional exercises with solutions, and pointers to readings and resources. Taught by Professor Jennifer Widom, the curriculum draws from Stanford's popular Introduction to Databases course. The material presented here is the same as the corresponding material presented on Stanford's Class2Go platform.
Databases are incredibly prevalent -- they underlie technology used by most people every day if not every hour. Databases reside behind a huge fraction of websites; they're a crucial component of telecommunications systems, banking systems, video games, and just about any other software system or electronic device that maintains some amount of persistent information. In addition to persistence, database systems provide a number of other properties that make them exceptionally useful and convenient: reliability, efficiency, scalability, concurrency control, data abstractions, and high-level query languages. Databases are so ubiquitous and important that computer science graduates frequently cite their database class as the one most useful to them in their industry or graduate-school careers.
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), JSON, and emerging "NoSQL" systems.
More info: https://www.coursera.org/course/db