An OLAP cube is a multidimensional database that is optimized for data warehouse and online analytical processing (OLAP) applications. An OLAP cube is a method of storing data in a multidimensional form, generally for reporting purposes. In OLAP cubes, data (measures) are categorized by dimensions.
I regret getting a late start in the InterSystems Analytics contest. I had tried a couple of times before to use Analytics, but I had not gotten too far. I have been recording financial transactions in Excel workbook ever since I had to retire Microsoft Money. Since my iris-for-money was not fully functional, I created a worksheet per account I was tracking. I had developed a CSP page in iris-for-money to import transactions by reading a CSV file.
InterSystems IRIS Business Intelligence provides the Cube Registry as an interface for managing and scheduling build and synchronize tasks for your cubes.
When designing a hierarchy in DeepSee, a child member must have only one parent member. In the case where a child corresponds to two parents, the results can become unreliable. In the case where two similar members exist, their keys must be changed so that they are unique. We will take a look at two examples to see when this happens and how to prevent it.
InterSystems IRIS Business Intelligence allows you to keep your cubes up to date in multiple ways. This article will cover building vs synchronizing. There are also ways to manually keep cubes up to date, but these are very special cases and almost always cubes are kept current by building or synchronizing.
As we announced at our Global Summit in October, we are developing dedicated connectors for a number of third-party data visualization tools for InterSystems IRIS. With these connectors, we want to combine an excellent user experience with optimal performance when using those tools to visualize data managed on InterSystems IRIS Data Platform.
I want to have a generic PercentOfAll measure that can be used for any dimension of the cube. This PercentOfAll should act like Count, but instead of showing the number of rows in a cell, it will show the percentage (100*number of rows for that member/all rows) .It should not matter what dimension is being viewed. Ex
There are a total of 100 rows in the source class.
I tried using the DeepSee Troubleshooting guide but the suggestions weren't working. Let's say that the source data we are using to build the cube on has a value out of range. This would cause the cube build/update to fail. How do I see the error log that explains which field has the value out of range? Please be detailed on exactly what command I should enter and where I should enter it in.
I'm looking for a means to dynamically specify and/or limit the data from the source that goes into a cube at build time.
I have a single data class that defines my source, and as the data within this table/collection grows/changes over time, I would like to be able to control which records actually make it into the indexed cube, but I'm having a hard time (short of defining a stored procedure to use instead of the extent query) for populating my cube indexes.
In DeepSee we have a field that is numeric but is used as a dimension. In DeepSee it sorts this field in the following order. 10, 11, 15, 2, 3, 5, 6, 8, 990. Is there a way to have DeepSee sort it numerically instead of treating it like a character field? We would want to see it show up in the dimension as 2,3,5,6,7,10,11,15,990.
Let's say I have a persistent class Sales. I need to create a report that shows the amount of sales for each branch. By simply using the class Sales for the source of the cube, I can show what I want with one little exception - the branches that did not have any sales are not shown. Is there a way around that that does not involve creating a whole new table just for this cube or using a Data connector (they have horrible documentation and I am unable to figure out how to use them properly)?
Hello, I've completed this tutorial: https://community.intersystems.com/post/deepsee-period-date-vs-same-peri... I've used the "year" level instead of a pivot variable. I want to calculate something like the following variation: 100 * ([DateOfSale].[PTD] - [DateOfSale].[LYPTD]) / [DateOfSale].[LYPTD] I create a new calculated member, under the same dimmension with the above expression.
I have some problem with getting data from external source (PostgreSQL) via JDBC and load it in DeepSee and I resolved some problems while writing this question :)
I'm trying to build a cube based on a linked table but seems that IRIS is not able to do it :O
Long story short, I have a linked table in IRIS that sources a Microsoft SQL table (using standard linked feature from the portal). It works fine, I can access it using SQL as many other times. On top of that, I've created in DeepSee (ok, Analytics) a cube that uses this class as source. It compiles correctly, no errors given. When I build it with 100 records, all goes well and using Analyzer I can see results.
Working on "HealthShare 2019.1 [HealthShare Modules: Core:17.0.9941 + Patient Index:17.0.9941 + Clinical Viewer:17.0.9941 + Active Analytics:17.0.9941] - Cache for Windows (x86-64) 2018.1.1 (Build 312_1_18859U) Tue Mar 19 2019 00:43:30 EDT"
In creating a DeepSee Cube - Pivot - Dashboard I am not finding out how to sort my rows by the row label value.
My Rows are numeric values, but they are sorting lexically not numerically. By this I mean that given the Row Values 1, 2, 3, 10, 100 the rows ar being displayed in the Analyzer in the alphabetic order of:
Scenario-1: How to add filter or where clause while displaying data with listing fields ( I have not used Custom SQL listing to display this data).
For below table, I have created a Cube Student and I have created listing fields of the columns mentioned in the table. Also I have created the pivot and I am able to create the same table as shown below.
How do I best create a filter in DeepSee to restrict query results for the current login, that is where the results are filtered by a Dimension compared to the ObjectScript special variable $USERNAME or an ObjectScript expression that restricts what the current user is allowed to see?
We are currently developing a set of cubes in Unified Care Report (UCR) for data analysis purposes. However, we are encountering issues with cube dependencies, where certain cubes rely on others to be compiled beforehand. The complexity of these dependencies is becoming increasingly difficult to manage, particularly when attempting to deploy the cubes.
Hi I am experienced with Ensemble but working in my first DeepSee project, so forgive me if this seems elementary.
My question is, how do I clear the data out? Every time I build I am adding more and more data. But I would like to revert my cube to being 0 so I can reload it and start over? Set my row count back to 0?
I am unable to remove/purge through the management portal
-I've tried to kill my cube Do ##class(%DeepSee.Utils).%KillCube("MyCube.Cube") and then Rebuild it.
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