Webinar: Using SQL Storage Compress by Steve Jones and Brad McGehee
Steve Jones and Brad McGehee lead you through real-world examples of working with SQL Storage Compress
Steve Jones and Brad McGehee lead you through real-world examples of working with SQL Storage Compress
When no clustered index is defined on a table, that table is said to be a Heap. Heaps are not ideal when it comes to performance but there are lots of instances where you have heaps.
Eliminate pesky legacy TEXT, NTEXT and IMAGE data types with this handy script.
Steve Jones sees a problem with the Azure platform. It's one that he thinks is limiting adoption, and may become a big problem for Microsoft at some point.
On Thursday May 16th 12PM Central time, Robert Davis will discuss public facing websites on a global scale when looking at Data Architecture.
Unfortunately SQL Server Analysis Services (SSAS) does not support differential backups and creating full backups for the servers might take too much time. In this tip we are going to show how to synchronize two SSAS servers in order to have a failover server in case something goes wrong with one of the servers.
Phil Factor on three "sanity checks" that any data scientist must perform in order to prevent businesses from interpreting data analysis errors, or fraudulent activity, as real trends.
Identify orphaned Database Users and differentiate them from "Loginless" Database Users.
If you've ever loaded a 2 GB CSV into pandas just to run a...
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
Comments posted to this topic are about the item The New Software Team
Comments posted to this topic are about the item Database Mail in SQL Server...
Comments posted to this topic are about the item 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