Statistical calculations in SQL are often perfectly easy to do. SQL was designed to be a natural fit for calculating correlation, regression and variance on large quantities of data. It just isn't always immediately obvious how. In the second of a series of articles, Phil factor shows how calculating a non-parametric correlation via Kendall's Tau or Spearman's Rho can be stress-free.
2017-06-20
3,513 reads
Your SQL Server drives are running out of disk space and you want a way to quickly tell which sub-directories are taking the most space - here's how to do it with T-SQL.
2017-06-16
4,950 reads
Of course we all like our colleagues to think that we know everything there is to know about SQL Server Collations. However, the truth is that it is a rather complicated topic to fully understand and the cost of getting collation wrong can be great. If only one could ask certain questions on forums or at conferences without blushing. Help is at hand, because Robert Sheldon once again makes the complicated seem simple by answering those questions that you were too shy to ask.
2017-06-15
3,969 reads
In this tip, Greg Larsen shows you how to set variables in your calling T-SQL code when using sp_execute sql.
2017-06-14
4,088 reads
Paul White digs into row goals as he explains some interesting and inconsistent behavior with UNION ALL queries in SQL Server.
2017-06-13
5,896 reads
A new whitepaper published today gives Microsoft SQL customers technical guidance for how to approach GDPR compliance with Microsoft SQL technologies.
2017-06-12
5,192 reads
Scala and Apache Spark might seem an unlikely medium for implementing an ETL process, but there are reasons for considering it as an alternative. After all, many Big Data solutions are ideally suited to the preparation of data for input into a relational database, and Scala is a well thought-out and expressive language. Krzysztof Stanaszek describes some of the advantages and disadvantages of a scala-based approach to implementing and testing an ETL solution.
2017-06-12
4,658 reads
Some people will assure you that you can't do any serious statistical calculations in SQL. In the first of a series of articles, Phil factor aims to prove them wrong by explaining how easy it is to calculate Pearson's Product Moment Correlation.
2017-06-09
4,713 reads
Partitioning data is a standard SQL Server administration practice. Partitions enable independent administration of different slices of data. When a SQL Server Analysis Services (SSAS) tabular data model is developed and processed, data is read from the source system and loaded into the tabular data model configured in In-Memory processing mode. Every time the model is processed, the entire data set may not require re-processing. Only certain slices of data containing changes may require re-processing which can be achieved by partitioning data into logical slices. In this post, Siddharth Mehta looks at how to partition tables in Tabular SSAS.
2017-06-08
2,832 reads
When you are doing the rapid deployment of an updated SSIS project, there are a number of things you have to check to make sure that the deployment will be successful. These will include such settings as the values in environment variables, Package parameters and project parameters. The DbFit test framework turns out to be ideal for the purpose of doing final checks as part of a deployment process, as Nat Sundar demonstrates.
2017-06-07
3,586 reads
By Steve Jones
I haven’t done one of these in awhile, but I saw an article recently...
In last months one of the scenarios where you can use AI has been...
Comments posted to this topic are about the item Creating JSON II
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On SQL Server 2025, what happens when I run this code:
SELECT JSON_OBJECTAGG( N'City':N'Denver' RETURNING JSON) GOSee possible answers