Having covered the procedure headers in SQL Server in the previous level, Joe tackles the subject of the contents of stored procedures. In this level, he outlines limitations of TSQL as a procedural language, and what you need to bear in mind when deciding how to use them.
2019-04-03 (first published: 2011-09-21)
A great deal of the confusion that occurs when a database application is developed comes from a poor understanding of the basics of data. Here, Joe Celko gives a broad coverage of the difficulties you're likely to meet when handling data in databases.
2019-02-06 (first published: 2011-05-12)
In the final step of Database Design, Joe Celko gives a simple but effective explanation of the normalization process and why it is important.
2018-02-21 (first published: 2011-11-11)
In levels one to four, we built the tables, base and virtual, of a schema. Levels five and six dealt with stored procedures. This level deals with a feature you need to avoid as much as possible; this is article is on Triggers.
2018-01-24 (first published: 2011-09-30)
Joe Celko tackles the subject of the Stored Procedure and its place in database design. What he writes is food for thought, even for experienced database developers.
2017-10-25 (first published: 2010-08-25)
A clear understanding of SQL Data Types and domains is a fundamental requirement for the Database Developer, but it is not elementary. If you select the most appropriate data type, it can sidestep a variety of errors. Furthermore, if you then define the data domains as exactly as possible via constraints, you can catch a variety of those problems that would otherwise bedevil the work of the application programmer.
2016-06-01 (first published: 2010-05-04)
Having described tables, Joe Celko explains how to make them work together as a database and touches on what Entity Relationships and Views are.
2013-10-16 (first published: 2010-08-18)
There are several types of tables, each with their special requirements for rules and integrity constraints. Whatever the requirement, table-level constraints will ensure that the rules are enforced and data integrity is maintained.
2013-09-18 (first published: 2010-05-25)
Before you start to think about your database schema or tables, you need to consider your data: the type of data it is, the scale you use for values. It needs to be unique, precise and unambiguous. Then you need to name it in such a way that it can be generally understood. Joe Celko explains...
2013-07-03 (first published: 2010-04-27)