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Missing Data

In the real world of business or scientific reporting and analysis, data can prove to be awkward. It can be plain wrong or it can be altogether missing. Sure, we have the NULL to signify unknown, but that doesn't play well with regular business reporting. There are a number of ways of dealing with missing information, and methods of estimating data from existing data has a long and respectable history. Joe Celko gets to grips with a data topic that is often treated with some trepidation.

External Article

Mixing MongoDB and Relational Databases in the Enterprise

Your Agile developers want MongoDB, or a similar document database: your Ops people are concerned about security and backup, and Governance are muttering about transactionality and data transfer between systems. Do you restrict your developers from rapidly-evolving the data design for their domain or do you embrace the joys of NoSQL unconditionally? If you accept a polyglot database environment, where the NoSQL lambs coexist with the relational lions, how do you provide tools and common database concepts that everyone can use and understand?

Blogs

Red Flags in Your Query (T-SQL Tuesday #200)

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The DBA life is fraught with pain. Those battles that we endure are mostly...

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A Quick Second Opinion

By Steve Jones - SSC Editor

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Five Intelligent Query Processing Features in SQL Server 2022 That Quietly Tune Your Workload

By vgupta

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Checking the Error Log I

By Steve Jones - SSC Editor

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Question of the Day

Checking the Error Log I

On my SQL Server 2025, I want to search the error log from my T-SQL code for potential issues and then inform an administrator. What is the current way to easily query the error log?

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