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SQL Server Best Practices for Data Quality

Accurate data is imperative for an organization to conduct cost effective decision making. Like everything else, change is constant for your data. There is a need to cleanse and validate data when received and on a regular basis. Unfortunately, cleansing and validating data is difficult with the native SQL Server toolset. How do we leverage the SQL Server tool set to achieve these goals?

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Looking Back at the Decade

Today is the last day of 2019, and the last day of the 2010 decade. I'm still somewhat amazed by the fact that we're entering the 2020s and we still don't really have flying cars. We're well past 2001 and 2010, and still not much space exploration, though the growth in computing power and AI/ML […]

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Hi everyone I am getting below warning when I run SSIS: Warning: 0x80049304 at...

Let's Talk Community Events!

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Comments posted to this topic are about the item Let's Talk Community Events!

that one limitation in replication

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Hi as shown below a replication target requires a primary key.  if we want...

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Question of the Day

Detecting Deadlocks

By default, how often is the SQL Server Database Engine checking for deadlocks?

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