Business Intelligence Architect Bill Pearson introduces the MDX Ordinal Function, as a means for generating lists and for conditionally presenting calculations. He also demonstrates the use of the function in creating datasets to support report parameter picklists.
Over the years, Phil was struck by the problems of reading and writing JSON documents with SQL Server, and wrote several articles on ways of overcoming these problems. Now that SQL Server 2016 onwards has good JSON support, he thought that the articles would be forgotten. Not so, they continue to be popular, so he felt obliged to write about how you can use SQL Server's JSON support to speed the process up.
It is getting to be that time of year. Holiday parties are you for them or against
Brent Ozar shares a free script that that you can run to quickly produce a health check of your SQL Server.
Here's a data warehouse design pattern to speed up multi-value dimension creation.
In SQL Server 2017 consuming or providing JSON data is so efficient that you can implement effective microservices right from the database, argues Phil Factor.
In the real world of business or scientific reporting and analysis, data can prove to be awkward. It can be plain wrong or it can be altogether missing. Sure, we have the NULL to signify unknown, but that doesn't play well with regular business reporting. There are a number of ways of dealing with missing information, and methods of estimating data from existing data has a long and respectable history. Joe Celko gets to grips with a data topic that is often treated with some trepidation.
Build and Operationalize scalable Predictive models and intelligent applications using SQL and R.
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Software is hard. While I love our Lucid Gravity, I realize that they are...
By James Serra
Making Data AI-Ready, Part 2 (This is the second article in a three-part series...
By Steve Jones
Can you use your GPUs when running a local model under Ollama? You can,...
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