Is your SQL Server running slow and you want to speed it up without sharing server credentials? In my Comprehensive Database Performance Health Check, we can work together remotely and resolve your biggest performance troublemakers in less than 4 hours.
Once you learn my business secrets, you will fix the majority of problems in the future.
Have you ever opened any PowerPoint deck when you face SQL Server Performance Tuning emergencies? SQL Server Performance Tuning Practical Workshop is my MOST popular training with no PowerPoint presentations and 100% practical demonstrations.
Essentially I share my business secrets to optimize SQL Server performance.
For SQL Server Emergency Help, you can reach out to me at pinal@sqlauthority.com with words URGENT in the email subject line for other services mention “Comprehensive Database Performance Health Check“.
In a perfect scenario, no unexpected and unplanned changes occur. There are no unpleasant surprises, no inadvertent changes. However, even with all precautions and testing, there is sometimes a need to revert a structure or data change. Let us learn about How to Roll Back SQL Server Database Changes.
If you are using SQL Server there are good chances that you are familiar with AdventureWorks. AdventureWorks is a Sample Database shipped with SQL Server and it can be downloaded from GitHub site. AdventureWorks have replaced Northwind and Pubs from the sample database in SQL Server 2005. The Microsoft team keeps updating the sample database as they release new versions. I use the AdventureWorks database for most of my example, as it is easy to use sample database which is accessible for most of the people out there. Let us learn to install AdventureWorks.
In SQL Server 2014 Microsoft has introduced a new database engine component called In-Memory OLTP aka project “Hekaton” which is fully integrated into the SQL Server Database Engine. It is optimized for OLTP workloads accessing memory resident data. In-memory OLTP helps us create memory optimized tables which in turn offer significant performance improvement for our typical OLTP workload.