The purpose of a database build is simple: prove that what you have in version control can successfully create a working database, and yet many teams struggle with unreliable and untested database build processes that slow down deployments and prevent the delivery of new functionality. Grant Fritchey explains how to achieve an automated and reliable database build that is only as complex as the database system it needs to create.
The processing of the Transaction Log seems simple to reproduce, but be sure you consider all the possibilities.
Today we have a guest editorial from Andy Warren that looks at the respect, understanding and compromise we might make with each other.
According to the New Men of IT, the industry changes so frequently that experience and qualifications quickly become obsolete and irrelevant. The argument won't wash with Phil Factor.
As you develop, test and deploy SSIS packages, you need to specify different parameter values for things like database connection strings, file and folder paths, etc. without having to edit the individual SSIS packages to make these changes. Ray Barley looks at how you can accomplish this goal by taking advantage of the configuration capabilities that SSIS provides, in particular the SQL Server package configuration.
In the future we may be required to bring our own devices to work. Does that make sense? Would you want to get an allowance and purchase your own laptop?
When replicating data to other servers it is always a concern that the subscribers may be far behind. In this article, Tim Smith shares some queries to help monitor SQL Server replication row counts.
By Ed Elliott
Running tSQLt unit tests is great from Visual Studio but my development workflow...
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.
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
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