The MVP award is coveted by many people and there are constant questions about how to get it. Is it worth it? Steve Jones talks about that today.
Speeding up incremental ETL processes in SSIS by tracking changes to records in an MD5 Hash
The introduction of the xml data type, with its own set of methods for processing xml data, made it possible for SQL Server developers to create columns and variables of the type xml. Deanna Dicken examines the modify() method, which provides for data manipulation of the XML data stored in the xml data type via XML DML statements.
This week Database Weekly has a lot of performance related posts and Steve Jones notes that those are not of much use unless you know you really do have a performance problem.
A look at partitioning in Analysis Services from Shahfaisal Muhammed. Learn how it works, what it can do, and how to implement partitions for your cubes.
A guest editorial from Tim Mitchell today looks at technology, and how quickly we become accustomed to it.
I need to setup other computers the same way that are used to manage my SQL Servers. Instead of having to manually add the registered servers on each computer in this tip I show you how you can import and export registered servers between computers.
A guest editorial today from Andy Warren. When someone is looking to introduce a free version of a product, what's the best way to tackle it?
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...
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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