Social Engineering Dangers
Social engineering is one of the most effective ways to hack information out of a company. Steve Jones looks at this technique and a recent contest at DefCon that featured social engineering.
Social engineering is one of the most effective ways to hack information out of a company. Steve Jones looks at this technique and a recent contest at DefCon that featured social engineering.
In this article Brian Ellul explorea how it's possible to eliminate the SORT operator (and its performance cost) on performing SELECTS statements.
The issuing of a Current Time Increment, Cti, in StreamInsight is very definitely one of the most important concepts to learn if you want your Streams to be responsive. A full discussion of how to issue Ctis is beyond the scope of this article but a very good explanation in addition to Books Online can be found in these three articles by a member of the StreamInsight team at Microsoft, Ciprian Gerea.
A free, one day training event taking place on October 16, 2010 in Orlando, FL.
Join Paul White in part three of a four-part series exploring the internals of query optimization as he looks at the rules that are used to build the execution plan.
Today Steve Jones talks about the upcoming SQL Saturday #52 in Colorado, and how it's encompassing more than just a day of SQL learning.
The first SQL Saturday in San Diego kicks off fall with a full day of free SQL Server information, lectures, and seminars from the experts on the West Coast.
Andrew Calvett talks Analysis Services for the September meeting of the Kent SQL Server user's group.
SQL Azure Data Sync provides data synchronization between the cloud and local SQL Server databases. Learn how SQL Azure Data Sync allows you to keep the most concurrent information in the cloud while allowing mobile users, businesses, and enterprise data sources all to have access to this data.
Phil Factor initially brooded about being fired from a job he was just doing unpaid to help out. Then he suddenly realized that they were probably right.
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