Data Insecurity: A Perspective on Data Encryption
The focus of this paper is on the protection of PII data stored within a database using encryption technologies.
The focus of this paper is on the protection of PII data stored within a database using encryption technologies.
The recent decision by Yahoo to end telecommuting elicits some comments from Steve Jones on the topic of remote work.
A short look at the vulnerabilities your data may be susceptible to outside of the database tables.
SQL Server isn't usually the best place to format dates or currency as strings. It can be a complex task to conform correctly with national and cultural conventions. Just occasionally, though, you need to do it. This is easy in SQL Server 2012, but if you aren't using that, what do you do?
The culture and practices at Valve are interesting to Steve Jones, but the desks really caught his eye.
A day of SQL Server training in the UK on Mar 9, 2013. Sign up if you can come.
emporary tables are created in the Temporary tables are created in the TempDB database, which persists for a particular session. The objective is to maintain that session, until the temp table information is used and dump the data into a physical table.
There's potentially an exploit that can download lots of data to a machine. This shouldn't be a concern for servers, but you never know.
The recovery models of SQL Server define how different backup and restore tasks will be performed on your database. When choosing a recovery model,
Often, an existing database application must evolve rapidly by incremental steps. Alex describes a tried and tested system to provide an automated approach to deploying both new and existing database systems, whilst dealing with common security and configuration issues.
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...
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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