Although the techniques of Database Lifecycle Management can reduce the timescales for the delivery of new functionality to business systems, what if the database 'layer' consists of several large interdependent databases and data flows with replication and audit? Does DLM scale to this level of complexity? Margaret Cruise O'Brien starts a series of articles that describes the practicalities of improving DLM within an existing framework and team supporting a multi-database multi-server system, by describing some of the database management problems and solutions in an enterprise-scale database.

Consider the Downside

by Steve Jones

SQLServerCentral.com

Editorial

Steve Jones asks software developers to consider the issues we may have with lax internal security.

PowerShell Scripting to Replicate Cloud & SaaS Data to SQL Server

by Jerod Johnson

SQLServerCentral.com

SQL Server

Using a CData DataCmdlet and sqlps to replicate data from Google Spreadsheets to a SQL Server database in PowerShell

Performance Myths : Truncate Can't Be Rolled Back

by Additional Articles

SQLPerformance.com

Performance

Derik Hammer sets out to disprove another pervasive performance myth : TRUNCATE is faster than DELETE because it isn't logged and can't be rolled back.

The language of DevOps ROI

by Additional Articles

Redgate

DevOps and Continuous Delivery (CI/CD)

How do you quantify the value of DevOps? The answer might depend on what value actually means for your organization, which stakeholder you’re talking to, and what type of...