Advanced Database Design and Management with SQL Server Short Courses
Advanced Database Design and Management with SQL Server is a short course for those who have some experience of database design and querying and who are now looking to take these skills to a higher level. It will also broaden students' database capabilities by including the areas of advanced management and configuration.
It will also broaden students' database capabilities by including the areas of administration, security, XML and Data Warehousing and Mining.
|Start Date||Start Time||Duration||Cost||Course Code||Apply|
|Tuesday 30 April 2013||18:30 - 20:30||10 weekly classes||£450.00||CE2590||Apply Now|
Mark Robbins was for many years a freelance Project Manager working for the government, the BBC and the NHS, where he lead large teams that designed and implemented many strategic national networking and messaging systems. He now works as a freelance academic researcher and author, journalist and IT consultant and teaches a wide range of computer science subjects at London Metropolitan University.
Successful completion of Database Design with SQL Server or a good working knowledge of basic database design techniques, SQL querying and basic procedural programming gained using any major RDBMS.
Applicants must be proficient in written and spoken English.
What will I learn?
Teaching and Assessment
Informal assessment will take place through group discussion, class room activities, and questions and answers sessions as guided by your tutor.
Database Systems - A Practical Approach to Design, Implementation and Management" 5th ed., Thomas Connolly and Carolyn Begg (Addison Wesley)
"Professional SQL Server 2008 Programming", Robert Vieira (Wrox)
"A Developer's Guide to SQL Server", Bob Beauchemin and Dan Sullivan (Addison Wesley)
Inside Microsoft SQL Server: The Storage Engine", Kalen Delaney (Microsoft Press)
"Inside Microsoft SQL Server 2008: T-SQL Querying", Itzik Ben-Gan, (Microsoft Press)
"Professional SQL Server 2008 Administration", Brian Knight et al., (Wrox)
"Data Mining with Microsoft SQL Server 2008", Jamie MacLellan et al., (Wiley)