Data Quality

External Article

SQL Server Best Practices for Data Quality

  • Article

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?

2020-01-03

Technical Article

Data Degradation

  • Article

The other day at a conference, the subject of data degradation/corrosion arose. The speaker at the conference said that data in a database degraded or corroded over time. The statement was made as if degradation over time applied to all databases. I found this blanket statement to be misguided. Indeed, I think that data does degrade in some databases, but not all.

2009-05-14

2,180 reads

Blogs

A New Word: on tenderhooks

By

on tenderhooks – adj. feeling the primal satisfaction of being needed by someone, which...

Ramblings about data communities and your contributions, no excuses

By

I have been active in the data community throughout my career. I have met...

SQL Server Journey till 2025 (brief)

By

Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...

Read the latest Blogs

Forums

Ola Hallengren Index Optimize Maintenance can we have data compression = page

By JSB_89

I have a quick question on Ola Hallengren Index Optimize Maintenance . Do we...

how do i map the "current" object entry in for each to one variable

By stan

hi, in an ssis  for each loop over an object variable called MyListVariable, i...

Simulating Mercury’s Orbital Motion Using Pure T-SQL (NASA 2025 Dataset)

By NKTgLaw

SQL Server is typically viewed as a transactional or analytical database engine. However, it...

Visit the forum

Question of the Day

String Similarity I

On SQL Server 2025, when I run this, what is returned?

SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL')

See possible answers