Sharing on-premises SQL Server Data Analyses in the Cloud with Power BI
In this article I would like to introduce you to PowerBI.Com to see how to share analyses in the cloud using SQL Server data
2016-05-23
1,439 reads
Articles
Database Hardware and Infrastructure Trends
Glen Berry talks through a number of useful new developments in hardware, storage, and the Microsoft Windows and SQL Server ecosystem.
2016-05-23
3,214 reads
Natively Compiled Stored Procedures: What they are all about
What are natively compiled stored procedures? Why would we want to use them and what are the performance benefits of using them over classic disk-based stored procedures?
2016-05-20 (first published: 2014-08-04)
24,983 reads
Considerations around validation errors 41305 and 41325 on memory optimized tables with foreign keys
Denzil Ribeiro looks at the validation phase of transaction lifetime.
2016-05-20
2,662 reads
A Comparison of JDBC Drivers for MySQL
A brief comparison of three different JDBC Drivers built for connecting with MySQL
2016-05-19
3,289 reads
Comparing Networking Options in Azure
What are your options for connecting to an Azure VM? Sure, a Remote Desktop Protocol (RDP) connection will get you started but you'll soon need a full secure VPN connection. Azure can provide three different options for doing this: Point-to-Site (P2S), Site-to-Site (S2S), and ExpressRoute, but what are their relative advantages, and which one is right for the way you need to use Azure?
2016-05-19
3,041 reads
2016-05-18
184 reads
Differences between Delete and Truncate in SQL Server
Atul Gaikwad details the differences between DELETE and TRUNCATE, including how they vary in terms of being rolled back.
2016-05-18
4,518 reads
Row Level Security with SQL Server 2016: Part 2 - Blocking Updates at the Row Level
In this article, Greg Larson reviews why a block predicate is important when you implement row level security using SQL Server 2016.
2016-05-17
4,426 reads
2016-05-16
3,469 reads
Blogs
The Book of Redgate: Profits
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
Session Materials for Techorama & DataGrillen 2026
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
Stop Using Pandas for Aggregations — Try DuckDB Instead
If you've ever loaded a 2 GB CSV into pandas just to run a...
Forums
Even When You Know What You're Doing, You Can Screw Up
Comments posted to this topic are about the item Even When You Know What...
The New Software Team
Comments posted to this topic are about the item The New Software Team
Database Mail in SQL Server 2022
Comments posted to this topic are about the item Database Mail in SQL Server...
Question of the Day
The string_agg function
We create the following table and then insert some records in it:
create table t1 ( id int primary key, category char(1) not null, product varchar(50) ); insert into t1 values (1, 'A', 'Product 1'), (2, 'A', 'Product 2'), (3, 'A', 'Product 3'), (4, 'B', 'Product 4'), (5, 'B', 'Product 5');What happens if we execute the following query in both Sql Server and PostgreSQL?
select id,
category,
string_agg(product, ';')
over (partition by category order by id
rows between unbounded preceding and unbounded following) as stragg
from t1; See possible answers