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
1,521 reads
2014-02-28
1,527 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
I love Chicago. I went to visit three times in 2023: a Redgate event,...
By Brian Kelley
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We're trying to understand how quick new versions of SQL server can be. Obviously...
Let’s consider the following script that can be executed without any error on both SQL Sever and PostgreSQL. We define the table t1 in which we insert three records:
create table t1 (id int primary key, city varchar(50)); insert into t1 values (1, 'Rome'), (2, 'New York'), (3, NULL);If we execute the following query, how will the records be sorted in both environments?
select city from t1 order by city;See possible answers