Statistics in SQL: Simple Linear Regressions

Although linear regressions can get complicated, most jobs involving the plotting of a trendline are easy. Simple Linear Regression is handy for the SQL Programmer in making a prediction of a linear trend and giving a figure for the level probability for the prediction, and what is more, they are easy to do with the aggregation that is built into SQL.

Byte Me: Killer Conference

SQL Azure Reporting Automation

This article will talk about preparing a runbook in Azure to schedule the report of space usage of databases in Azure environment

Dealing with High Concurrency with Table Hints

Systems with a large number of requests on a critical database table are prone to blocking and slowness. We take a look at getting things done using T-SQL table hints.

Migrating Schema Between Platforms

The decision to change platforms isn't one Steve Jones takes lightly.

Properly Persisted Computed Columns

Paul White walks through a new trace flag in SQL Server 2016 designed to yield better execution plans (and performance) for queries involving computed columns.

Statistics in SQL: Kendall’s Tau rank correlation

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.

DevOps Can Help

DevOps can help, not just development, but also infrastructure, if you spend time adapting the practices to your environment.

Help for DBAs Who Support SSIS…

SSIS Catalog Compare helps DBAs work with their SSIS project configurations and catalogs, deploying changes from environment to environment.

Scoring Outliers with R

What is normal? More to the point, what is abnormal? We will look at using R to score outliers in a typical monitoring dataset.