Listening and Taking Action
Microsoft has changed SQL Server in response to the community. Read about some of the enhancements.
Microsoft has changed SQL Server in response to the community. Read about some of the enhancements.
Continuing his series covering a step-by-step Installation of SQL Server 2016 on a Windows Server 2016 Failover Cluster, Edwin Sarmiento looks at adding a node to an existing SQL Server 2016 failover clustered instance (FCI).
In this free demo webinar, Steve Jones and Arneh Eskandari will show how Redgate’s database DevOps solution works to improve your database development and deployment processes. With a focus on using Team Foundation Server (TFS) work items, the webinar will demonstrate how Redgate tools plug into TFS, TFS Build, and Microsoft Release Management. Register now.
Can you use SQL Server to extrapolate out trends from your data? Lots of companies would have you buy a BI solution instead, but new author Mark Wojciechowicz brings us a great example of how you could forecast something in T-SQL.
Pseudonymisation is a form of data masking, a technique that becomes more important to data professionals all the time.
It’s been a while since SQL Cruise has been in Alaska, but come August 12 2017 we are returning in a big way for our 13th event since our founding in 2010, bringing one of the most sought-after minds in Microsoft SQL Server for a week of instruction, conversation, and insight: Bob Ward. The SQL […]
Visual Studio Code is rapidly gaining in popularity, but is it all it could be, or is there room for improvement? Redgate is embarking on some research to better understand how you are using this lightweight editor, and where it can be improved. Have your say by filling in this short survey!
Manvendra Singh explains how to install SQL Server Agent on an Ubuntu server, so that you can create SQL Server Agent Jobs to schedule repetitive tasks.
There may be new changes to our jobs as data professionals because of GDPR in the European Union.
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Comments posted to this topic are about the item Faster Data Engineering with Python...
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
exec etl.GettheProduct
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