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.
This video shows you how to perform one of the core functions of a DBA: performing a full backup. The use of Management Studio is shown in this video.
Every organization I talk to has the same problem dressed up in different clothes....
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Comments posted to this topic are about the item The day-to-day pressures of a...
Comments posted to this topic are about the item Using OPENJSON
Comments posted to this topic are about the item Data Modeling with dbt for...
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.key
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers