Chris Unwin describes a classification-driven static data masking process, using SQL Data Catalog to classify all the different types of data, its purpose and sensitivity, and then command line automation to generate the masking set that Data Masker for SQL Server can use to protect this data. Read more
Phil Factor explains how SQL Monitor helps focus performance tuning efforts on the tables and queries where 'rogue indexes' might be a significant problem, and then how to identify both 'missing' indexes that might be beneficial to the overall workload, and those that are unused or duplicated, and so are doing more harm than good. Read more
In this article, you'll learn how to detect and remove a common cause of SQL Server query performance problems: reliance on implicit datatype conversions. We'll use a combination of plan cache queries, extended events, and SQL Monitor. Read more
Phil Factor sets out with the modest aim of giving you enough of an introduction to waits to better understand the wait information you get from a SQL Server monitoring tool like SQL Monitor, and the rather overwhelming amount of information available in the underlying DMVs and Extended Events. Read more
Filters are used by Redgate's SQL Compare, SQL Source Control, DLM Dashboard, and SQL Change Automation. A typical use for a filter is to work on just one schema within a database or just a limited set of tables and routines. You would also want to use a filter to exclude certain object, such as database users, from comparisons. Phil Factor explains how they work, and how to create, edit and then use them within the various Redgate tools. Read more
Tony Davis explores how SQL Change Automation is increasingly providing ways of working with SQL Clone, to improve the quality of testing for database changes. With SCA v4.3, developers can now use the SSMS plugin to create a clone of the target database, to be used as a reference database, or baseline, for the deployment project. Read more
Starting out a new database development with source control is relatively easy. To introduce source control into an existing database application can be more challenging. Phil Factor explains some of the fundamental steps. Read more
SQL Multi Script can easily be persuaded to run queries at the server level rather than the database level. It is also able to combine results from many databases even if the results aren't identical but have some different columns. Phil Factor demonstrates how this works, when collecting a set of performance counters from all databases on a distribution list of servers. Read more
SQL Multi Script does one thing and does it well: it will run whatever script or scripts you select, on a list of databases, and collate all the results neatly. However, it has a surprising number of uses. Phil Factor explains how it works and then uses it to search 100 databases, for occurrences of a string, in about 7 seconds. Read more
In Redgate Change Control v3.0, you can now commit your database changes to your local Git repository and collaborate with your team by pushing and pulling changes from the remote Git repository. If you’re using branches, you can also create and switch Git branches from within Redgate Change Control. Read more