Display data series' as a set of points with an XY (scatter) chart - typically to compare distinct values across categories. BI Architect Bill Pearson leads the hands-on creation of an XY chart based upon an Analysis Service data source.
2009-10-29
2,209 reads
While trying to get the information he needed out of various SQL, MySQL and Oracle environments, Michael finally got tired of endlessly flicking through reference manuals and having to work so hard just to formulate his queries. So he decided to build a cross-platform Query Template solution to make his life easier, and he even went as far as building a .NET control to be integrated into applications. He's been kind enough to share the control, and the theory behind it, with us.
2009-10-28
1,971 reads
While typical relational database applications are query-driven, event-driven applications have become increasingly important. Event-driven applications are characterized by high event data rates, continuous queries, and millisecond latency requirements that make it impractical to persist the data in a relational database for processing. These requirements are shared by vertical markets such as manufacturing, oil and gas, utilities, financial services, health care, web analytics, and IT and data center monitoring. Event-driven applications use complex event processing (CEP) technology with the goal of identifying meaningful patterns, relationships and data abstractions from among seemingly unrelated events and trigger immediate response actions.
2009-10-28
2,185 reads
After restoring a database your users will typically run some queries to verify the data is as expected. However, there are times when your users may question whether the restore was done using the correct backup file. In this tip I will show you how you can identify the file(s) that was used for the restore, when the backup actually occured and when the database was restored.
2009-10-27
4,162 reads
Unexpected Consistency Checks, Troubleshooting Memory Usage, More from Paul Randal.
2009-10-27
2,044 reads
In SQL Server 2005, a feature was introduced that was hardly noticed, but which might make a great difference to anyone doing queries involving temporal data. For anyone doing Data Warehousing, timetabling, or time-based pricing, this could speed up your queries considerably. Who better to introduce this than Query Optimizer expert, Fabiano Amorim?
2009-10-26
3,485 reads
Marcin Policht continues his discussion of implementing Reporting Services on SQL Server 2005 Express Edition. In this article, we will turn our attention to troubleshooting methods that can be employed to identify and resolve problems affecting reporting functionality and performance.
2009-10-26
2,719 reads
Join BI Architect Bill Pearson in this introduction to Partitions in Analysis Services 2008. Here we explore partitioning concepts and advantages, and look forward to hands-on practice with partitions in subsequent articles.
2009-10-23
3,760 reads
If you do not have a third party monitoring tool in place, the only way is to constantly monitor SQL Server. To do this without being overly intrusive, we need to rely on the SQL Server DMVs.
2009-10-23
5,101 reads
Everybody knows how to call stored procedures from a .NET application. Right? But then, how often do you see stored procedures used to their full advantage in database applications? William Brewer goes through some of the basics, but uses PowerShell as the example .NET application, and avoids all mention of Northwind or AdventureWorks!
2009-10-22
5,661 reads
By HeyMo0sh
Working in DevOps, I’ve seen FinOps do amazing things for cloud cost control, but...
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...
Comments posted to this topic are about the item The day-to-day pressures of a...
Hello all, I’m looking for advice on how to derive a daily snapshot table...
We need to replace our Windows server running SQL 2017. Any reason not to...
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