Well-formatted scripts are always easier to maintain and enhance readability to high degree. Formatting standards are an important part of coding standards anywhere and if not, they need to be. If there are a large number of scripts this can add up to a significant amount of time needed to maintain them. It is also […]
2021-08-27
9,334 reads
SQL Server 2017 introduced the concept of graph data tables as part of the SQL Server database engine. With SQL Server 2019, there were some enhancements like ‘shortest path’ function and constraints on edge tables that make this feature more usable – although it is far from a full-fledged graph database. Graph tables are essentially […]
2019-12-23
15,336 reads
Temporal tables a.k.a Table Versioning was introduced in SQL Server 2016 and is an easy, convenient way to track changes to data. A good introduction to temporal tables can be found here. One of the key advantages of versioning tables is easy of querying – or getting a ‘single pane of glass’ look of how […]
2019-07-29
14,964 reads
This article is a case study and an attempt to explain an interesting phenomenon with data anomalies that is commonly called Simpson's Paradox.
2017-01-10
3,709 reads
SQL Server 2016 does not allow computed columns to co exist with columnstore indexes and clustered btree indexes on same table.
2016-12-29
904 reads
In this post I will attempt to explore simple commands to manipulate data pulled in from a SQL database into R.
2016-10-20
1,662 reads
Simple steps towards understanding what is an Odds Ratio, and how do we arrive at it using TSQL and R scripts.
2016-08-30
2,532 reads
By James Serra
I remember a meeting where a client’s CEO leaned in and asked me, “So,...
By Brian Kelley
If you want to learn better, pause more in your learning to intentionally review.
By John
If you’ve used Azure SQL Managed Instance General Purpose, you know the drill: to...
Hello team Can anyone share popular azure SQL DBA certification exam code? and your...
Comments posted to this topic are about the item Faster Data Engineering with Python...
Comments posted to this topic are about the item Which Result II
I have this code in SQL Server 2022:
CREATE SCHEMA etl;
GO
CREATE TABLE etl.product
(
ProductID INT,
ProductName VARCHAR(100)
);
GO
INSERT etl.product
VALUES
(2, 'Bee AI Wearable');
GO
CREATE TABLE dbo.product
(
ProductID INT,
ProductName VARCHAR(100)
);
GO
INSERT dbo.product
VALUES
(1, 'Spiral College-ruled Notebook');
GO
CREATE OR ALTER PROCEDURE etl.GettheProduct
AS
BEGIN
exec('SELECT ProductName FROM product;')
END;
GO
When I execute this code as a user whose default schema is dbo and has rights to the tables and proc, what is returned? See possible answers