Finding the Context
Will computers become better at finding context in situations and environments? Steve Jones comments.
Will computers become better at finding context in situations and environments? Steve Jones comments.
The idea of this challenge is to clean up the phrase from the words identified as 'noise' words from the beginning and end of sentences.
Some background on sp_who2 from Jason Brimhall and a dive into the inner workings of how to find current activity on an SQL instance.
Tapas Pal shows you how to encrypt your SQL Server database for a pre-existing, business critical web application using Transparent Data Encryption (TDE), a new full database encryption technique introduced in SQL Server 2008.
A guest editorial from Andy Warren looks at a bad database design he recently ran across.
This article is the beginner's guide to Default Trace. The article outlines how to query the default trace for key trace events, with a focus on DDL history.
Denise Rogers discusses the essential tasks in conducting effective software evaluations revolving around data warehousing and business intellegence. Each step has a dependency on the previous one, starting with establishing the framework of the evaluation and adding progressively elaborate data that facilitates a decision making process that is resolute.
Learn how you can generate a server inventory in 30 minutes for all of your servers with this new article from Stanley Chan.
Steve Jones talks about the PASS Board of Directors election coming up this fall and hopes some of you will apply.
Marcin Policht examines SQL Server Integration Services' component, Derived Column Transformation,and how its usefulness is enhanced by its ability to implement fairly elaborate mathematical, logical, and string operations.
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