Improve Query Performance in the Fabric Warehouse with Clustering
Learn how to improve performance issues in Microsoft Fabric Warehouse and leverage cloud-based data analytics effectively.
2026-05-18
Learn how to improve performance issues in Microsoft Fabric Warehouse and leverage cloud-based data analytics effectively.
2026-05-18
A few lessons learned in building ETL pipelines and tricks to ensure you can easily maintain these over time.
2026-05-15
2,293 reads
LLMs should be used in data pipelines for unstructured text, semantic search, and natural language queries – but avoided for deterministic, high-volume, or regulated tasks. Drawing on my real-world experience building large-scale ML systems, in this guide I’ll explain exactly where LLMs belong in your data pipeline and, just as importantly, where they don’t.
2026-05-15
In theory, SQL Server performance monitoring is pretty simple: 1. Review the server’s top wait types, 2. Find the queries causing those wait types, 3. Fix those queries, or improve the way the server reacts to them (indexes, settings, etc.). But in practice, step 2 is awful because:
2026-05-13
SQL Server 2025 shipped without SSRS. If you're managing paginated reports, your options just narrowed; but they're not what most people think. I evaluated all 10 realistic migration paths. Here's an honest comparison, including the one I built.
2026-05-11
14,682 reads
Explore the mechanics of the SOFTMAX function in SQL Server. Transform scores into probabilities with this essential tool.
2026-05-11
Learn a quick way to calculate distances without resorting to spatial calculations.
2026-05-08
2,021 reads
Learn how to split strings efficiently in T-SQL using STRING_SPLIT and the REGEXP_SPLIT_TO_TABLE function in SQL Server 2025.
2026-05-08
2026-05-06 (first published: 2025-04-16)
1,695 reads
Learn how table valued parameter joins in SQL Server stored procedures can negatively impact query performance.
2026-05-06
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
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...
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