# Russ Whitney

Russ
Whitney

Russ Whitney (rwhitney@proclarity.com) is vice president of research and development for ProClarity and directs development of a software platform used to create custom analytic applications. He is a director of Idaho Research Foundation and Distributed Database Consulting (DDBC).

##### Articles
Measure a store's performance by comparing it to other stores in the database.
Because forecasting depends on the needs of your business, creating a forecasting cube often requires some artistic finesse. Here are some techniques you can use to solve some common cube-design problems.
If you’ve ever tried to connect users to Analysis Services over HTTP, you know you can’t use the default security protocol. Fortunately, Analysis Services lets you choose from three security options.
Discover the solution to the previous MDX puzzle.
Challenge yourself with this month's puzzle.
Learn a way to put a number into context to determine its relevance.
Learn how to narrow a list to show only the items that are relevant in a given situation.
Microsoft provides an example of how to create drillthrough support for Excel’s PivotTable components, but the example can be hard to follow. Here’s an explanation to help you use the example better.
Discover a query that returns the top 10 non-beer products that were purchased with beer in the FoodMart 2000 Sales cube.
Try your hand at writing a query that returns all the FoodMart 2000 Sales cube customers whose total Store Sales equal at least 5 percent of the sales to the customer who has the highest total Store Sales.
Dimension writeback is an essential function of budgeting and planning applications. You can create your own cube to learn how dimension writeback works in SQL Server 2000 Enterprise and Developer editions.
Here's a query that uses the TOPCOUNT() function to rank customers who aren't single and female.
Use the FoodMart 2000 Sales cube to find which 10 non-beer products customers purchased most frequently in the same transaction with beer products.
OLAP cubes are notorious for having lots of empty (or null) cells. Including these empty cells in your result sets can bog down your analysis applications. But you can use these tricks to eliminate empties.
Can you find the top 10 single female customers without listing the other three types of customer--single male, married male, and married female?

##### Digital Magazine Archives

Browse back issues of SQL Server Pro, from January 2007 through the last issue published in April 2014. Find the back issues here.

Jul 17, 2017

### How Inferred Linking in Matched Records Digs Deeper into Your Data

Duplicate records clutter databases and render the data within them unclear. This kind of problem is very common, and it’s the main reason that deduping software exists. But there’s another benefit to deduplication software: the ability to infer connections between individual records from various data sets....More
May 22, 2017