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
Fabric Mirroring doesn’t start copying Rows
A short blog post about an issue with Fabric Mirroring (with Azure SQL DB...
JSON_OBJECTAGG is an Aggregate: #SQLNewBlogger
By Steve Jones
I wrote an article recently on the JSON_OBJECTAGG function, but neglected to include an...
Cultural Change: Fostering a Cost-Aware Culture in Your Organisation
By HeyMo0sh
After working deep in cloud operations, I’ve learned that FinOps isn’t really about dashboards...
Forums
PostgreSQL String Functions Part 1
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Working Better Under Pressure
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Identities and Sequences V
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Question of the Day
Identities and Sequences V
When thinking about the identity property and sequence objects, which of these can generate values before an insert statement is executed?
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