Proper Storage and Handling of Personal Names

As database developers, we may need to rethink the way we store and handle personal names

SQL Server 2016 Temporal Table Query Plan Behaviour

In this latest T-SQL Tuesday, Rob Farley takes a look at a couple of unexpected aspects of query plans you might observe when using Temporal Tables in SQL Server 2016.

Byte Me: Earning in the Grave

Create a SQL Server Reporting Services Report from an Analysis Services Tabular Database

Daniel Calbimonte walks through the steps to creating a SQL Server Reporting Services (SSRS) Report from an Analysis Services Tabular Database.

Changing Replication Passwords

A how-to guide for configuring replication agents after a password change

Strengthening the Foundations of Software Architecture

The term 'Architecture' seems to imply a plan that you can't easily subsequently deviate from. It's true that, if you abandon software architecture, you end up with a big ball of mud, but maybe the art of software is to make change much easier by planning how to implement each feature, tackling dependency issues, splitting functionality into small discrete components and considering how they should interact with each other.

How to Run Scheduled Jobs in Azure SQL Databases

This article will help you to schedule jobs in Azure SQL.

Introduction to Azure SQL Database Temporal Tables

As announced on June 1, 2016, SQL Server 2016 has reached its general availability. This means that you finally have the option to implement some of its new features in the production environment. While we still have to wait for their full support in Azure SQL Database V12, it is likely that their preview stage will be concluded soon. In this article, we will focus on Temporal tables, which is one example of these new features.

Execute SQL Server DBCC SHRINKFILE Without Causing Index Fragmentation

Simon Liew shows how to execute SQL Server DBCC SHRINKFILE without causing index fragmentation and example conditions that cause fragmentation.

Data Quality - Addressing non-stated requirements

Producing a crib sheet for data quality drives a shared understanding of the data used to power the business.