Jim Yang is a program manager at MSN who works on data mining and data analysis. He has a PhD in statistics from the University of Texas at Dallas. He has written several articles for statistical journals.
The data-mining features in SQL Server 2000 Analysis Services can help your organization find the patterns and rules to improve its marketing, sales, and customer-support operations and gain a better understanding of its customers.
Don’t let bad data sneak up on you when and where you least expect it. Ferret out bad data with Melissa Data’s newest Profiling Component for SSIS. Learn how to take control of your data using knowledge-base-driven metadata. The truth shall set you free!...More
In my previous post, I provided a high-level outline of the core logic (and rationale behind that logic) that would be needed to set up regular synchronization checks on SQL Server Agent Jobs for servers where AlwaysOn Availability Groups have been deployed. In this post, I’ll walk through the steps--and the code--needed to setup those checks....More
Now that we’ve outlined the process to let servers in a SQL Server AlwaysOn Availability Group "talk to each other" by means of setting up linked servers, it’s possible to set up some additional or improved checks on Availability Group Health....More