Dr. Codd first described the relational model in a paper in Communications of the ACM (CACM 13 No 6; June 1970). Some more work followed up after that by other people, giving us normal forms and other things we have taken for granted for 50+ years.
2023-10-27
Introduction Relational database design helps to create a set of relations and tables, which are connected with each other through some defined relationships. The main purpose of relational database design is to preserve the information and minimize data redundancy. We need to follow some design guidelines for relational schemas to maintain the quality of the […]
2021-02-23
5,294 reads
In data mining, we sometimes need to perform techniques such as Z-score normalization on numeric data type columns to prevent one column from skewing or dominating the models produced by the machine learning algorithms. Dallas Snider explains how to perform this in SQL Server with T-SQL code.
2015-01-29
9,049 reads
The task of Database Normalization doesn't have to be painful, especially if you follow Old Mother Celko's Normalization Heuristics.
2014-04-23
6,652 reads
Not only is the process of normalization valuable for increasing data quality and simplifying the process of modifying data, but it actually makes the database perform much faster. To prove the point, Peter Larsson takes a large unnormalised database and subjects it to successive stages of normalisation.
2012-06-25
4,835 reads
The third article in our series on normalization from Tom Thomson continues with an explanation on what constitutes third normal form.
2011-07-28
8,375 reads
In this article Tom Thomson takes a look at what second normal form means, how it is violated, and how you can fix it. This is part of our normalization series.
2011-07-14
8,060 reads
Learn the basics of first normal form and what that means to a database designer from Tom Thomson.
2011-06-30
10,855 reads
A cursor-free way of normalizing data from a denormalized data source into a database which uses "surrogate" IDs.
2010-01-25
5,591 reads
Explains how to normalize a table without breaking the application or doing any application code changes.
2013-11-01 (first published: 2008-11-10)
24,046 reads
By Vinay Thakur
As this is an Artificial Intelligence (AI) World, things are changing. We can see that...
In a containerized app, React and Chakra UI provide a robust and accessible user...
By Steve Jones
nachlophobia – n. the fear that your deepest connections with people are ultimately pretty...
hi, I have a table called Rules Create table Rules ( Id int ,...
I am currently upgrading a very old database running SQL Server 2008 to SQL...
Hi Team, I am planning to apply security updates for SQL Server 2016 on...
What is returned from this query?
SELECT
( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate > '01/01/2011' AND soh.OrderDate < '01/01/2012') AS OrdersIn2000
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate > '01/01/2012' AND soh.OrderDate < '01/01/2013') AS OrdersIn2001
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate > '01/01/2013' AND soh.OrderDate < '01/01/2014') AS OrdersIn2002; See possible answers