Microsoft introduced Azure SQL Data Warehouse, a new enterprise-class, elastic petabyte-scale, data warehouse service that can scale according to organizational demands in just few minutes. In this article, Arshad Ali discusses the different types of tables you can create in SQL Data Warehouse, how they impact performance and the best practices around them.
2017-04-28
3,633 reads
A series of arguments with developers who insist that fuzzy searches or spell-checking be done within the application rather then a relational database inspired Phil Factor to show how it is done. When the database must find relevant material from search terms entered by users, the database must learn to expect, and deal with, both expected and unexpected.
2017-04-27
7,260 reads
Microsoft announced the availability of SQL Server Analysis Services (SSAS) on Azure late last year. Siddharth Mehta walks through how to quickly set up a tabular data model in SSAS Azure.
2017-04-26
2,859 reads
The Redgate Foundry team have been researching data masking, and have found that generally speaking there's six common approaches. In this blog post, Toby Smyth runs through all six.
2017-04-24
3,252 reads
Andrea Angella shares what he learned from attending Michael Feather's workshop on working effectively with legacy code.
2017-04-20
4,251 reads
Node.JS and SQL Server are a good match for creating non-blocking, event-driven database applications. Though you can use ODBC or JDBC to communicate between the two, it is possible to run such applications on platforms such as Azure, Linux, OSX and iOS by using Node together with the JavaScript TDS library called 'Tedious'. 'Tedious' is a mature product but it is still possible to get things wrong in converting SQL Server datatypes such as BigInt to native Javascript data.
2017-04-19
3,491 reads
Tom Austin talks about the challenges that arise from trying to include the database in your DevOps process.
2017-04-18
3,224 reads
The ability to scale out SSRS, so that multiple report server instances can access a single report server database, is an Enterprise Edition-only feature. So when Rodney Landrum was tasked with implementing a scale-out solution, with failover, for SSRS on SQL Server Standard Edition, it required some creative thinking. This article describes his solution, its merits and drawbacks.
2017-04-18
3,892 reads
Aaron Bertrand kicks off his "Performance Myths" series, showing a "redundant" non-clustered index outperforming the clustered index with the same key.
2017-04-17
5,314 reads
One of the concepts that has recently been growing rapidly in popularity, in the context of cloud technologies, is DevOps. In this article, Marcin Policht looks at using DevOps principles in regard to Azure SQL Database deployments. To implement some of the more common DevOps practices, he will rely on Visual Studio Team Services.
2017-04-14
2,268 reads
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...
By DataOnWheels
Ramblings of a retired data architect Let me start by saying that I have...
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