The right way to approach a legacy code base

Andrea Angella shares what he learned from attending Michael Feather's workshop on working effectively with legacy code.

Byte Me: Functional Fashion

Package Parts – First Impressions

This article gives an overview of some good and not-so-good features of SSIS package parts.

Working with the BigInt Type in Node and SQL Server

Node.JS and SQL Server are a good match for creating non-blocking, event-driven database applications. Though you can use ODBC or JDBC to communicate between the two, it is possible to run such applications on platforms such as Azure, Linux, OSX and iOS by using Node together with the JavaScript TDS library called 'Tedious'. 'Tedious' is a mature product but it is still possible to get things wrong in converting SQL Server datatypes such as BigInt to native Javascript data.

Working with Tables in Azure SQL Data Warehouse

In this next installment of our series on Azure SQL Data Warehouse, we'll look at tables and the options for how we decide to create them for optimum performance.

Moving from application automation to true DevOps by including the database

Tom Austin talks about the challenges that arise from trying to include the database in your DevOps process.

Scaling out SSRS on SQL Server Standard Edition 

The ability to scale out SSRS, so that multiple report server instances can access a single report server database, is an Enterprise Edition-only feature. So when Rodney Landrum was tasked with implementing a scale-out solution, with failover, for SSRS on SQL Server Standard Edition, it required some creative thinking. This article describes his solution, its merits and drawbacks.

Performance Myths : Clustered vs. Non-Clustered Indexes

Aaron Bertrand kicks off his "Performance Myths" series, showing a "redundant" non-clustered index outperforming the clustered index with the same key.

Creating Azure SQL Data Warehouse Databases

Learn how you can create an Azure SQL Warehouse database quickly and easily.

Integrating DACPAC deployments of Azure SQL Database with Visual Studio Team Services

One of the concepts that has recently been growing rapidly in popularity, in the context of cloud technologies, is DevOps. In this article, Marcin Policht looks at using DevOps principles in regard to Azure SQL Database deployments. To implement some of the more common DevOps practices, he will rely on Visual Studio Team Services.