Data Sprawl
The challenges of data growth and sprawl can be compounded by the variety of tools and platforms available. Steve Jones notes that you might need to learn a bit about different technologies.
Free webinar: DLM Demo
Redgate’s Database Lifecycle Management solution ensures database changes made in development environments are always tested and reviewed before being deployed, and adds automation to the process. Find out how by joining Steve Jones, MVP and editor of SQLServerCentral, as he demonstrates the solution and shows why such an approach is essential if you want to release changes frequently.
Interesting things about INSTEAD OF triggers
This article from Paul White examines some surprising behaviour of INSTEAD OF triggers and reveals a serious cardinality estimation bug in SQL Server 2014.
Baseline Collector Solution V2
New version of the Free Baseline Collector Solution released. Do you collect baseline data? If not, let's start doing it!
Data Liability
The issue of who owns data, and who is responsible is one that our world hasn't defined well. Steve Jones has a few thoughts on potential issues for data professionals.
Learning Stretch Database
References and links about the Stretch to Azure feature in SQL Server 2016.
Whatever happened to Database Table Refactoring?
Phil Factor ponders why most people lost their initial enthusiasm for refactoring databases iteratively, in parallel with the evolutionary design of the rest of the system.
How to Confuse the SQL Server Query Optimizer
Want to 'trick' SQL Server into performing millions of logical reads to return data, when only are few thousand were really required? In this article, Gail Shaw examines three common forms of generic SQL that can and will confuse the SQL Server Optimizer to the point that it generates and reuses very inefficient execution plans.
Logging and Error Handling for SQL Stored Procedures
Learn how to develop and test a template for logging and error handling in a multi-step SQL stored procedure
T-SQL Window Functions Speed Phreakery
Before SQL Server had SQL window functions, SQL Server developers had to use all manner of tricks and algorithms to come up with ways to rapidly process large amounts of data. Do we need these techniques now that we can express a SQL task in terms of window functions? Kathi revisits a famous SQL challenge to find out.
Blogs
T-SQL Tuesday #198 Roundup: How Do You Detect Data Changes?
Thank you to everyone who participated in T-SQL Tuesday #198! When I wrote the...
Optimizing Redshift Performance by Configuring WLM Queues
Efficient query performance in Amazon Redshift often comes down to how well you manage...
PowerShell Strikes Back: Return of the Loop
By gbargsley
Welcome back to PowerShell Strikes Back. We’re three weeks in, and the training is...
Forums
Dealing with huge heap tables
Recently, our dev teams approach me for advice on improving their huge heap table...
Merge Replication failing with Error converting data type nvarchar to numeric
After upgrading 2 Merge Replicated databases to SQL 2022 and re-establishing the Merge Replication...
Why Your Index Isn't Being Used? - Reading Execution Plans to Find the Real Culprit
Comments posted to this topic are about the item Why Your Index Isn't Being...
Question of the Day
Distance Metric Algorithms
What are the distance metric algorithms that can be used in VECTOR_DISTANCE()?
See possible answers