Bringing SQL Server Data Quality Tools to Your Company
Learn how and why you should be using Melissa's data quality components that fully integrate into SSIS packages to fix data problems and save your company money.
2022-10-26
Learn how and why you should be using Melissa's data quality components that fully integrate into SSIS packages to fix data problems and save your company money.
2022-10-26
For organizations relying on the SQL Server, Melissa's solutions directly integrate with SSIS, so the learning curve is minimal. You can drag and drop Melissa components in SSIS to validate, cleanse, append and enhance data.
2021-02-09
Email based validation is more than just a simple RFC check, this is where Melissa's Global Email Verification with a web-based API and SSIS delivers valuable data to SQL Server Professionals.
2020-12-14
2015-09-11
1,552 reads
2014-02-28
1,548 reads
Greg Larsen shows you how to install Data Quality Services and the companion client tool called Data Quality Client for SQL Server 2012.
2012-11-07
2,181 reads
This guide details high-level performance numbers expected and a set of best practices on getting optimal performance when using Data Quality Services (DQS) in SQL Server 2012 with Cumulative Update 1.
2012-10-05
1,697 reads
By Steve Jones
No, I’m not quitting or retiring. Just going on vacation, but I leave tonight...
By Steve Jones
I caught this interesting item over on Pinal Dave’s blog: Eleven Interview Questions that...
Comments posted to this topic are about the item Building a SQL Server Fleet...
Comments posted to this topic are about the item Smart AI Agents and Data...
Comments posted to this topic are about the item RegEx Functions IV
I have this data in a table in a SQL Server 2025 database:
EmailAddressID EmailAddress 7 dylan0@ADVENTURE-WORKS.COM 8 Diane1@ADVENTURE-WORKS.COMIf I run this query, which row(s) are returned?
SELECT top 10 * FROM person.EmailAddress WHERE REGEXP_LIKE(EmailAddress, '^D', 'i') AND BusinessEntityID IN (7,8)See possible answers