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MDX in Analysis Services: Mastering Time: Introduction to Moving Avera
In this article, we will examine "rolling average" aggregations, a common business requirement. "Rolling," or "moving," averages, involve a measure, the average under consideration, that is aggregated over a progressively moving window of time periods.
Incident Response - The Framework
Do you have a SQL Server disaster plan? What about something less than a disaster? Steve Jones has worked more than his share of disasters or incidents, some of them self-inflicted. He's taken some of his experience and started a new series looking at a framework for dealing with incidents. Read part 1 about getting prepared.
MDX in Analysis Services: Mastering Time: Period - to - Date Aggregati
In this article, we began with a discussion of general business needs as related to the concept of relative time. We then undertook a practical, multi-step exercise, based upon a hypothetical business need, to illustrate a potential solution for a stated requirement.
NULL Column Analysis
NULL values in columns can indicate a few things, the value isn't known, it's not yet been filled in, or perhaps, as Leo Peysakhovich argues, the column isn't being used? How many SQL Server tables do you have with extra tables and columns that are not being used? Or maybe never have been? This article looks at a statistical analysis of columns using NULLs to determine if you might be able to remove certain columns.
MDX in Analysis Services: Mastering Time: Change across Periods
In this article and others subsequent to it, we will focus on time considerations in our MDX queries., and how we can successfully report change over time, as well as to accumulate those changes to present the precise snapshots, trends and other time-based metrics so dearly appreciated in business.
Disaster in the Real World - Hurricane
Hurricane Charlie had a pretty substantial impact on residents and businesses in Central Florida. Andy lives in the Orlando area and wrote up some notes on the various challenges he ran into it. Out of it you might find a couple things worth thinking about adding into your DR plan.
Review: Log PI
Ever have a transaction you need to roll back? Undo a fat finger? There are a number of log reading products available for SQL Server to help with you in this area. Dale Corey takes a look at LOG PI with an extensive review of the product, including a bunch of screenshots..
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Blogs
Free webinar – Tackling the Gaps and Islands Problem with T-SQL Window Functions
I’m hosting a free webinar at MSSQLTips.com at the 19th of December 2024, 6PM...
Counting Groups with Window Functions: #SQLNewBlogger
By Steve Jones
I looked at row_number() in a previous post. Now I want to build on...
The query processor ran out of internal resources and could not produce a query plan – When You’ve Managed to Confuse SQL With a Crazy IN Clause.
Recently I received a cry for help over Teams. The issue was that an...
Forums
How to merge two tables with unlike fields
How to merge two tables with unlike fields. I have two table with one...
Visual Studio 22 / SSIS Project / (Project) Connection problem
Hello, First of all, I find it odd/annoying that I can't exclude a Project...
How to determine if a DB is currently being used
Hi - I'm looking for advice regarding the best & quickest way to establish...
Question of the Day
The LAGging NULL
I have this data in a SQL Server 2022 table:
player yearid team HR Alex Rodriguez 2012 NYY 18 Alex Rodriguez 2013 NYY 7 Alex Rodriguez 2014 NYY NULL Alex Rodriguez 2015 NYY 12 Alex Rodriguez 2016 NYY 9If I run this code, what are the results returned in the hrgrowth column?
SELECT player , yearid , hr , hr - LAG (hr, 1, 0) IGNORE NULLS OVER (ORDER BY yearid) AS hrgrowth FROM dbo.playerstats;See possible answers