Learn basics of Data Wrangling in SQL Server to handle Invalid Values
In this article we cover the topic of data wrangling which is steps you can take to cleanup and validate data prior to data analysis.
2021-04-23
In this article we cover the topic of data wrangling which is steps you can take to cleanup and validate data prior to data analysis.
2021-04-23
Feodor Georgiev provides a thorough walkthrough on setting up SQL Server's Data Quality Services (DQS) and creating the rules it uses to function as a first step towards data cleansing.
2015-01-15
9,692 reads
By Steve Jones
I love Chicago. I went to visit three times in 2023: a Redgate event,...
By Brian Kelley
I have found that non-functional requirements (NFRs) can be hard to define for a...
You can find the slidedeck for my Techorama session “Microsoft Fabric for Dummies” on...
Testing with AG on Linux with Cluster=NONE. it was all going ok and as...
Hi, I have two tables: one for headers with 9 fields and another for...
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