Skip to main content

Update the data on an Intelligent Cube without having to republish the entire cube in MicroStrategy

Update the data on an Intelligent Cube without having to republish the entire cube in MicroStrategy



MicroStrategy has introduced a feature known as, Incremental Refresh Options, which allow Intelligent Cubes to be updated based on one or more attributes, by setting up incremental refresh settings to update the Intelligent Cube with only new data.

This can reduce the time and system resources necessary to update the Intelligent Cube periodically versus a full republish.
For example, if a user has an Intelligent Cube that contains weekly sales data, the user may want this Intelligent Cube to be updated at the end of every week with the sales data for that week. By setting up incremental refresh settings, he can make it so that only data for one week is added to the Intelligent Cube, without affecting the existing data and without having to reload all existing data.
Users can select two types of objects for the incremental fetch: a report or a filter.
  • Filter: The data returned by a filter is compared to the data that is already in the cube. By default, the filter defined for the Intelligent Cube is used as the filter for the incremental refresh.
  • Report: The results of a report are used to populate the Intelligent Cube. By default, the report template used is the same as the Intelligent Cube's template.
In order to set up an incremental refresh report, the user should first right click on the Intelligent Cube and select "Define Incremental Refresh Report":

This will bring up the Incremental Refresh Options editor:


Here, the user can define one of the following Refresh type options:
  • Update:  If new data is available, it is fetched and added to the Intelligent Cube, and if the data returned is already in the Intelligent Cube, it is updated where applicable.
  • Insert:  If new data is available, it is fetched and added to the Intelligent Cube. Data that was already in the Intelligent Cube is not altered.
  • Delete: The data that meets the filter or report's definition is deleted from the cube. For example, if the Intelligent Cube contains data for 2008, 2009 and 2010, and the filter or report returns data for 2009, all the data for 2009 is deleted from the cube.
  • Update only: If the data available is already in the Intelligent Cube, it is updated where applicable. No new data is added to the Intelligent Cube.
The type of object used for the incremental fetch can be selected in the Advanced tab:

Users simply have to run the incremental fetch report, and this will automatically refresh the data in the Intelligent Cube.
Labels:

Comments

Post a Comment

Popular posts from this blog

Microstrategy Custom number formatting symbols

Custom number formatting symbols If none of the built-in number formats meet your needs, you can create your own custom format in the Number tab of the Format Cells dialog box. Select  Custom  as the Category and create the format using the number format symbols listed in the table below. Each custom format can have up to four optional sections, one each for: Positive numbers Negative numbers Zeros Text Each section is optional. Separate the sections by semicolons, as shown in the example below: #,###;(#,###);0;"Error: Entry must be numeric" For more examples, see  Custom number formatting examples . To jump to a section of the formatting symbol table, click one of the following: Numeric symbols Character/text symbols Date and time symbols Text color symbols Currency symbols Conditional symbols Numeric symbols For details on how numeric symbols apply to the Big Decimal data type, refer to the  Project Design Guide . ...
4 comments
Read more

Reduce Intelligent Cube Size By Finding Intelligent Cube Objects Which Are Not In Use

Reduce Intelligent Cube Size By Finding Intelligent Cube Objects Which Are Not In Use If the i-cubes can potentially be reduced in size an audit can be performed on the cube objects to see which cube objects are not being used by any of the view reports, documents, or dossiers.   The below are examples for a few of the common metadata database platforms . NOTE: To perform this audit, queries are run against the MicroStrategy metadata database. Ensure a metadata backup is taken prior to performing the below actions. Steps: 1) Identify the object ID of the Intelligent cube to be audited by checking the objects Property window 2) Identify the object ID of the project this cube exists within by opening the Project Configuration Sample Cube ID =   CFAF1E9B4D53990698C42E87C7AF2EB5 Sample Project ID =  B7CA92F04B9FAE8D941C3E9B7E0CD754   3) Run the below SQL against the metadata database by replacing the Cube ID and Project ID within the respective ...
Post a Comment
Read more

Algorithm to calculate Logical Table Size in Microstrategy

How are the fact tables determined using the logical table size for SQL generation in MicroStrategy The logical table size is an integer number that represents the granularity or level of aggregation of a particular table. It is called 'logical' because it is not related to the physical size of the tables (number of rows). It is calculated according to the attribute IDs that are present in the table and their level in the system hierarchy.   Even though, the number does not reveal the actual number of rows in the table, it is an accurate way of measuring a table size without having to access its contents.   IMPORTANT:   The system hierarchy is defined by the parent-child relationships between attributes of the same family (formerly known as a dimension), not by user-defined hierarchies (i.e., drilling hierarchies).   MicroStrategy Engine utilizes an algorithm based on attribute keys to calculate the Logical Table Size (LTS): Given the following tables: ...
Post a Comment
Read more

Microstrategy Removing sections that do not have metric data

Removing sections that do not have metric data This is an interesting feature which might not be explored by many of us and it comes us handy. A  cross join between datasets can result in rows or Group Header/Footer sections that do not have metric data. For example, a document contains two datasets. Dataset 1 contains Year and Revenue, with data for three years (2007-2009). Dataset 2 contains Year and Profit, filtered to return data for only two years (2008 and 2009). If you place Year and Profit in the Details and execute the document, it displays three rows, although no profit data exists for 2007. This is a product of the cross join between the two datasets. You do not want to see the blank line for 2007 since it does not give you any data for profit. You can select the  Trim sections for which no metric value data is available  check box. This removes the row for 2007, since no metric data for Profit is available for 2007. The results are shown below: ...
Post a Comment
Read more

"System Prompt" and its uses in MicroStrategy

System Prompt and its uses in MicroStrategy WHAT IS A "SYSTEM PROMPT"? "System Prompt" is a system object that was introduced back in version 8.0.0. The object is named as "User Login" and is implemented as a prompt object. The object can be found under Public Objects > Prompts > System prompts, as shown below: Unlike ordinary prompt objects, system prompts don't require any answers from the user. When a report containing a system prompt runs, the prompt is answered automatically with the login of the user who runs the report. On the other hand, like other prompt objects, answers to system prompts are used to match caches. Therefore, users don't share caches for reports that contain system prompts. For details on how caches are matched, refer to the following MicroStrategy Knowledge Base document: KB5300-7X0-0147 - How are caches matched in MicroStrategy Intelligence Server 7.x? WHEN ARE SYSTEM PROMPTS USED?    System pr...
Post a Comment
Read more

Microstrategy Dossier training videos

Microstrategy Dossier training videos Adding data to a Dossier: Creating a visualization filter in Dossier: Sending Dossier to User libraries: How to format Dossiers: Adding a designer filter to a Dossier: Use Bookmarks in Dossiers: Dynamic Links in Dossier: Recreating documents from Dossiers: Exploring and searching in Dossiers: Exploring sample dossiers in MSTR library: Using Page to Page Targets in Dossiers:
2 comments
Read more

Create an alert-based subscription in MicroStrategy Distribution Services

Create an alert-based subscription in MicroStrategy Distribution Services on Web Subscription to a report or Report Services document which will be executed when a certain conditional threshold is met based on another executing report. For example, a scheduled report executes which shows the Revenue by day for the past week. If the Revenue on any one day falls below a certain value, a subscription to another report or Report Services document can be triggered and delivered to a recipient. An alert based subscription can only be created directly on a report; however, another report or Report Services document can be delivered when the alert based subscription is triggered. Note: you need a grid report to create an alert and you cannot create if you want to create on a document with text boxes. The following example will walk through the basic steps on how to setup a subscription based on an alert like this: Follow the brief  steps bel...
3 comments
Read more

Multi-Select Drop Down Selector with Apply Button

Multi-Select Drop Down Selector with  OK Button  When creating a Report Services Document, you may want to create a drop down selector to save space, but also would like the drop down to be a multi-selector with OK/Apply button. Below are instructions to achieve this in a Report Services Document.  Steps to Create: 1. Right click on your drop down selector and choose Properties and Formatting 2. Navigate to the Layout Tab 3. In the layout tab, click "Allow multiple selections". It will  not  indicate that the check box is enabled, but this step is mandatory.  3. Next, navigate to the Theme tab. Choose the  L ight Theme  from the drop down menu and click the Apply button. 4) Next, change the Theme back to  None  and click Apply. 4. When you return to the Layout tab, you will see the checkbox for  Allow multiple selections  is now checked.  
Post a Comment
Read more

Prompt-in-prompt (nested prompt) in a FreeForm SQL Report in MicroStrategy

Prompt-in-prompt (nested prompt) feature in a FreeForm SQL Report in MicroStrategy  The following procedure describes how to achieve prompt-in-prompt in a Freeform SQL report in MicroStrategy Tutorial project: Create a new filter, select Add an Attribute qualification and choose the highest level attribute Country. Make sure to Qualify On: Elements. Click Prompt as the image shown below. Accept all the default values without any changes in the popped up window after clicking on "Prompt" as shown below. Save the filter as "Country Filter". Click "Prompt", choose "Use a filter to reduce the number of elements" option and select Country Filter created in last step, as shown below. Save the filter as "Region Filter". Select Filter definition prompt -> Choose from an attribute element list as shown below. Choose attribute Call Center and use the Region Filter created in the previous st...
Post a Comment
Read more

Predictive modelling in Data Science using Microstrategy

Creating a predictive modelling in MicroStrategy MicroStrategy Data Mining Services has been evolving to include more data mining algorithms and functionality. One key feature is MicroStrategy Developer’s Training Metric Wizard. The Training Metric Wizard can be used to create several different types of predictive models including linear and exponential regression, logistic regression, decision tree, cluster, time series, and association rules. Linear and exponential regression The linear regression data mining technique should be familiar to you if you have ever tried to extrapolate or interpolate data, tried to find the line that best fits a series of data points, or used Microsoft Excel’s LINEST or LOGEST functions. Regression analyzes the relationship between several predictive inputs, or independent variables, and a dependent variable that is to be predicted. Regression finds the line that best fits the data, with a minimum of error. For example, you have a dataset ...
1 comment
Read more