The cost of fuel is rising, telecommuting is becoming more widespread, and the advance of digital technologies has us often working virtually, even in the same office. Steve Jones thinks we shouldn't forget the value of a little face time and and then.
The cost of fuel is rising, telecommuting is becoming more widespread, and the advance of digital technologies has us often working virtually, even in the same office. Steve Jones thinks we shouldn't forget the value of a little face time and and then.
The cost of fuel is rising, telecommuting is becoming more widespread, and the advance of digital technologies has us often working virtually, even in the same office. Steve Jones thinks we shouldn't forget the value of a little face time and and then.
This Friday Steve Jones polls the community of developers about the time they spend dealing with data access.
SQL Server 2008 Integration Services (SSIS) provides a flexible and scalable architecture that enables high-performance data extract, transform, and load (ETL). The Microsoft Business Intelligence Center of Excellence has extended SSIS to a metadata-driven platform to more effectively build, deploy, and manage ETL processes in large data warehousing environments.
Capacity planning is a problem for a data warehouse because it sets contrasting functional requirements against each other. On one hand, data warehouse customers consume data warehouse capacity as they query the data in the data warehouse business intelligence (BI) reporting. Meanwhile, applications consume data warehouse capacity as they load data into a data warehouse through the extract, transform and load (ETL) process.
As we retain more and more data, it becomes important not just to decide how long to retain different types of data, but also to identify that data that can be removed. Steve Jones talks about some of the challenges of this with databases.
As we retain more and more data, it becomes important not just to decide how long to retain different types of data, but also to identify that data that can be removed. Steve Jones talks about some of the challenges of this with databases.
As we retain more and more data, it becomes important not just to decide how long to retain different types of data, but also to identify that data that can be removed. Steve Jones talks about some of the challenges of this with databases.
By Brian Kelley
There's a great article from MIT Technology Review about resetting on the hype of...
By Steve Jones
etherness – n. the wistful feeling of looking around a gathering of loved ones,...
By Steve Jones
A customer was asking about tracking logins and logouts in Redgate Monitor. We don’t...
Comments posted to this topic are about the item The Microsoft SQL Year in...
Comments posted to this topic are about the item T-SQL in SQL Server 2025:...
Comments posted to this topic are about the item Your Value from a Conference
What does this code return in SQL Server 2025+? (assume the database has an appropriate collation)
SELECT UNISTR('Hello 4E16754C') AS 'A Classic';
A: 
B: 
See possible answers