Stairway to Columnstore Indexes Level 9: Batch Mode Execution
In this level, Hugo explains what batch mode execution is, how it differs from row mode execution, and what its limitations are.
Stairway to Data, Level 1: The Basics
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.
Stairway to Data, Level 2: Numerics
A confusion about the nature of numbers can lead to a number of problems in database applications. Joe Celko gives a simple guide to the subject
Stairway to Data, Level 3: Strings
Character-handling in SQL is not particularly straightforward, and confusion about collation and character encoding is a common cause of problems with searching, joining, and sorting.
Stairway to Data, Level 5: Types of Scales – Part I
Joe Celko discusses Nominal, Categorical, Absolute, Ordinal and Rank scales. These are the weakest scales we can use, starting with the weakest.
Stairway to Data, Level 6: Types of Scales - Part II
Joe Celko introduces more powerful scales such as Interval, Log interval and ratio scales; before moving on to conversions, punctuation and units. Finally he gives guidelines as to how best to use scales in a database.
Stairway to Data, Level 7: Data Encoding Schemes - Part I
Joe discusses how to deal with the kinds of encoding schemes, how to use them and how to design them. He discusses Enumeration, Measurement, Abbreviation and Algorithmic categories
Stairway to Data, Level 8: Data Encoding Schemes - Part II
Joe discusses Hierarchical, Vector and Concatenation encoding before rounding up with general guidelines for designing encoding schemes.
Stairway to Database Design Level 1: Data Elements
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...
Stairway to Database Design Level 2: Domains, Constraints and Defaults
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.
Blogs
Red Flags in Your Query (T-SQL Tuesday #200)
By Zikato
When I'm looking at a query, I bet it's bad if I see... a...
T-SQL Tuesday #200: When I Look at a Query …
By Steve Jones
This month is a milestone for T-SQL Tuesday. It’s number 200, which doesn’t sound...
Reflections on the Life of a DBA
The DBA life is fraught with pain. Those battles that we endure are mostly...
Forums
A Quick Second Opinion
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Five Intelligent Query Processing Features in SQL Server 2022 That Quietly Tune Your Workload
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Checking the Error Log I
Comments posted to this topic are about the item Checking the Error Log I
Question of the Day
Checking the Error Log I
On my SQL Server 2025, I want to search the error log from my T-SQL code for potential issues and then inform an administrator. What is the current way to easily query the error log?
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