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
5,320 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
8,463 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
8,095 reads
Learn the basics of first normal form and what that means to a database designer from Tom Thomson.
2011-06-30
10,898 reads
A cursor-free way of normalizing data from a denormalized data source into a database which uses "surrogate" IDs.
2010-01-25
5,675 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)
24,152 reads
PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them Introducing PlanTrace — a free, browser-based...
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I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers