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#MDX

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Multidimensional Expressions (MDX) is a query language for online analytical processing (OLAP) using a database management system. Much like SQL, it is a query language for OLAP cubes.

How are we doing THIS year versus the same period LAST year?
This is a common need in Business Intelligence. In fact, many design specifications for reports make use of a comparison between a selected period (year, quarter, etc) up to a certain date (for example November 15th, 2016) and a summary of the same information for the previous year (i.e. up to November 15th, 2015).
This post shows how to implement this in DeepSee.

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Hi, Community!

This is the 3rd part of DeepSee Web story - Angular base UI for DeepSee Dashboards, see the beginning here.

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By design, DSW provides an implementation for every widget in DeepSee library. But there are some extra features in DSW which make solutions built with DSW dashboards more functional. This article describes it.

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What is %SQLRESTRICT

%SQLRESTRICT is a special %FILTER clause for use in MDX queries in InterSystems IRIS Business Intelligence. Since this function begins with %, it means this is a special MDX extension created by InterSystems. It allows users to insert an SQL statement that will be used to restrict the returned records in the MDX Result Set. This SQL statement must return a set of Source Record IDs to limit the results by. Please see the documentation for more information.

Why is this useful?

This is useful because there are often times users want to restrict the results in their MDX Result Set based on information that is not in their cubes. It may be the case that this information may not make sense to be in the cube. Other times this can be useful when there is a large set of values you want to restrict. As mentioned before, this is not a standard MDX function, it was created by InterSystems to handle cases were queries were not performing well or cases that were not easily solved by existing functions.

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Hi, Community!

I’m sure you are using Developer Community analytics built with InterSystems Analytics technology DeepSee:

You can find DC analytics n InterSystems->Analytics menu.

DC Analytics shows interactive dashboards on key figures of DC entities: Posts, Comments, and Members.

Since the last week, this analytics project is available for everyone with source code and data on DC Github!

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One of the most important tasks of dashboards is, on the one hand, to help you perceive data in an aggregated form, and, on the other hand, not to lose the depth of immersion in the data if you need this. One of the tools that help us achieve this result is drill down. It enables us to display several hierarchical levels of data, from aggregated to detailed.

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The DeepSee Shell Best Practices Series - Example of using the MDX subquery flag in the DeepSee Shell

We have different flags for DeepSee advisors to look into the execution details and the methods DeepSee is using to do calculations.

flag [flagname] [on|off] – Turn a diagnostic on or off.

flag cmbr on|off – Show current member processing.

flag compound on|off – Show rewrite of compound queries.

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The DeepSee Shell best Practices Series - Execute an MDX query in the DeepSee Shell with/without results cache

This cache is different from cache reset. Cache reset clears everything in the namespace but “cache off” only clears the cache in ^DeepSee.Cache.Results and ^DeepSee.Cache.Axis global node for the corresponding cube. The difference is quite smaller in the case as below, but in some cases it can be a big difference.

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Preview Mode was added to InterSystems IRIS Business Intelligence to give designers a quick view of what their resulting Pivot Table will look like without needing to wait for the results to fully execute. This can be beneficial when designing pivot tables because if you are dragging and dropping elements to see how they look/work in your pivot table and seeing if they have the desired data. Since you are exploring and designing, you don't necessarily care about the results at the moment, but you would still like to see how your table looks with the changes you have made.

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