Which Problem Are You Solving?
This week Steve Jones talks a bit about problem solving and how you should approach the issue.
This week Steve Jones talks a bit about problem solving and how you should approach the issue.
Not all data is discrete; some data types represent a continuum. In SQL, we have to approximate them and live with the special problems of handling continuous data. We need to understand the problems associated with continuous data types, when these will happen, and how it affects constraints and the results of queries. Joe Celko explains.
Extreme Programming (XP) is no general panacea; but for the right team, and for a product that needs to release bug fixes and new features as fast as possible, its benefits are obvious. Working on one of Red Gate's most popular tools, SQL Prompt, Aaron Law and David Priddle use XP. But is their adherence to XP a personal preference or does it bring real benefits?
On January 28th 3PM GMT, Randolf Geist will present a free, one-hour webinar analyzing different database query profiles based on a real-world customer case. He'll also look at how these different profiles influence the efficiency of Exadata's features and the new Oracle In-Memory column store option. Register now.
Technology shouldn't just be a cost sink in an organization, at least that's what Steve Jones thinks.
Presents an open-source T-SQL based version tracking system for MSSQL
While a diminished level of control is certainly a factor to consider when contemplating migration of on-premises systems to Microsoft Azure, especially when dealing with PaaS resources such as Azure SQL Database, you have a range of techniques at your disposal that allow you to control and monitor both the status of and access to your Azure-resident services. One of these techniques is SQL Database auditing.
This is a general indicator of performance problems. Index fragmentation can affect the rate of return for moderate to large tables. If this value indicates an increased amount of index fragmentation throughout your database, you may need to fine-tune your indexes by redesigning, or rebuilding more frequently.
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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