A DLM Approach to Database Testing

Database Lifecycle Management aims to make the development and modification of databases more predictable. Bugs are the source of more unpredictability than anything else, purely because it is so difficult to guess how long it will take to fix them. Good testing at all stages may take some time and effort, but it greatly reduces likelihood of the wildcard factor of the bug that is first detected during the deployment process; or worse, that gets into the production release.

The Traveling Data Professional

This week Steve Jones talks about the need to get away and asks if you have plans.

Getting Started with Azure SQL Data Warehouse - Part 5

In part 5 of this series covering Azure SQL Data Warehouse, Arshad Ali looks at performance optimization.

Where's the Ops in DevOps? Part 1

In the first of a three-part series, guest bloggers from DevOpsGuys look at the real role of Ops in DevOps. Where it changes, how it changes, and why Ops...

Backup Plans for Data Loss

Today Steve Jones discusses data loss, always a scary topic for the data professional.

How to Decipher sysschedules

Take the mystery out of sysschedules and interpret the data into a plain text format.

SQL Server Row Count for all Tables in a Database

Dattatrey Sindol explains the different ways in which you can get the row counts from all the tables in a SQL Server database.

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