Skip to main content

Internationalization Design Technics

Microstrategy Internationalization Design Technics

MicroStrategy supports data internationalization through two different techniques. You can either provide translated data through the use of extra tables and columns, or you can provide separate databases to store your translated data. These techniques are described below:

You can support data internationalization in your database by using separate tables and columns to store your translated data. You can use various combinations of tables and columns to support and identify the translated data in your database.


To support displaying the name of each month in multiple languages, you can include the translated names in a separate column, one for each required language, within the same table. Each column can use a suffix to identify that the column contains translated data for a certain language. The same LU_MONTH_OF_YEAR table with translated data for the Spanish and German languages is shown below:
The data for Spanish is included in a MONTH_OF_YEAR_NAME column with the suffix _ES, and the data for German is included in a MONTH_OF_YEAR_NAME column with the suffix _DE.
As an alternative to supplying translations by using separate columns in the same table, you can create separate tables for your translations. Each table can share the same column name for the same data in different languages. In the tables below, the Spanish and German data is provided in separate Spanish and German tables:
The data for Spanish is included in a LU_MONTH_OF_YEAR table with the suffix _ES, but the MONTH_OF_YEAR column shares the same column name as in the English LU_MONTH_OF_YEAR table. The data for German uses the same technique and is stored in a LU_MONTH_OF_YEAR table with the suffix _DE.
You can also use both techniques (separate tables and extra columns in one table) to store and identify your translated data. This can be helpful to distinguish the language used for each table and column. It can also be helpful if you have a primary language stored in one table, and you store all internationalizations in an internationalization table. For example, you can store the Spanish and German data in the same internationalization table, as shown below:
In this scenario, the LU_MONTH_OF_YEAR_LANG table includes all translations in all languages other than the primary language, for the MONTH_OF_YEAR_NAME column. Each column is assigned a suffix to identify the language of the translated data.
In the examples above, suffixes on tables and columns are used to identify the language of the translated data. While it is not a requirement to use suffixes for these identification purposes, it is the easiest method to define and support in MicroStrategy. Using prefixes or other naming conventions requires you to use some functions to recognize the location of the translated data.
If your project supports data internationalization, you cannot use logical views as lookup tables for attributes that use translated data. 

Using separate databases for internationalization

You can support data internationalization in your database by using separate databases for each supported language. A user can then be granted access, through connection mappings, to the database that contains their preferred language.
For example, the MicroStrategy Tutorial project includes a Month of Year attribute which retrieves its primary information in English from the LU_MONTH_OF_YEAR table shown below:
For the purposes of this example, you can assume this data is stored in a database named Tutorial (English). You also provide your projects in Spanish and German, which means you must have a database for Spanish and a database for German. Each database contains the same table structure, column structure, and naming conventions, but includes translated data, as shown below:

This method of data internationalization requires that the same data is available in each internationalized database. 

Comments

Popular posts from this blog

Control the display of null and zero metric values

Show   Control the display of null and zero metric values in a grid report You can determine how to display or hide rows and columns in a grid report that consist only of null or zero metric values. You can have MicroStrategy hide the rows and columns in the following ways: Hide rows and columns that consist only of null metric values Hide rows and columns that consist only of zero metric values Hide rows and columns that consist only of null or zero metric values (default) Once you have defined how MicroStrategy hides null and zero metric values in the grid, you can quickly show or hide the grid using the Hide Nulls/Zeros option in the Data menu, as described below, or by clicking the  Hide Nulls/Zeros  icon  in the Data toolbar. To determine how null and zero metric values are displayed or hidden in a grid report Open the report in Edit mode. From the  Tools  menu, select  Report Options . The Report Options...

Case functions Microstrategy

Ca se functions Microstrategy Case functions return specified data in a SQL query based on the evaluation of user-defined conditions. In general, a user specifies a list of conditions and corresponding return values. Case This function evaluates multiple expressions until a condition is determined to be true, then returns a corresponding value. If all conditions are false, a default value is returned.  Case  can be used for categorizing data based on multiple conditions. This is a single-value function. Syntax Case ( Condition1 ,  ReturnValue1 ,  Condition2 , ReturnValue2 ,...,  DefaultValue ) Example Case(([Total Revenue] < 300000), 0, ([Total Revenue] < 600000), 1, 2) sum(Case (Day@DESC in (“Sat”,”Sun”), Sales, 0) {~+} Sum(Case(Category@DESC In("Books","Electronics"),Revenue,0)){~+} CaseV (case vector) CaseV  evaluates a single metric and returns different values according to the results. It can be used to perfo...

Microstrategy Report Pre and Post Statements

Microstrategy Report Pre and Post Statements Report Post Statement The Report Post Statement settings insert custom SQL statements after the final SELECT statement but before the DROP statements. The settings are numbered 1-5. Each text string entered in Report Post Statement 1 through Report Post Statement 4 is executed separately as a single statement. To execute more than five statements, insert multiple statements in Report Post Statement 5, separating each statement with a semicolon (;). The SQL Engine breaks them into individual statements at the semicolons and executes each separately. The custom SQL is applied to every intermediate table or view. Report Pre Statement The Report Pre Statement settings insert custom SQL statements at the beginning of the report SQL. The settings are numbered 1-5. Each text string entered in Report Pre Statement 1 through Report Pre Statement 4 is executed separately as a single statement. To execute more than five statem...

Apply or Pass-through functions in Microstrategy

Ap ply (Pass-Through) functions MSTR Apply functions provide access to functions or syntactic constructs that are not standard in MicroStrategy but are provided by various RDBMS systems.. Syntax common to Apply functions Apply Function Name   ("expression with placeholders", Arg1, Arg2, Arg3, …ArgN) where: Apply Function Name  – is a generic name used for the predefined pass-through functions described above expression with placeholders  – is the string describing the actual expression or syntax that the engine uses while generating the SQL and which is sent to the RDBMS. The placeholders are represented by #0, #1, and so on. "#" is a reserved character for MicroStrategy. Arg  – is an argument that replaces the parameter markers in the pattern. Arg1 replaces #0, Arg2 replaces #1, and so on. There are   five  pre-defined Apply functions to replace regular, predefined functions of the same type. For more details, cli...

Disable data blending in MicroStrategy

Disable data blending in MicroStrategy Starting in MicroStrategy 9.4 data blending was made available for documents and dashboards. This permits grid, graph and widget objects to source data from multiple different datasets at the same time.  This is available under the analytical engine VLDB properties inside of project configuration. The property is named "document grids from multiple datasets" and defaults to enabled but can be set to disabled.  Below are the steps to enable/disable the settings of data blending: 1. Go to project configuration by right clicking on specific project(You need admin rights to do this). 2. In the Project configuration windows as shown below select Configure under Project level VLDB settings section. 3. Now it will open the VLDB settings window, select + on " Analytical Engine Settings " and then click on " Document Grids from multiple datasets " option. You will be presented with two...

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 . ...

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 t...

Use a Visualization to Filter the Data in Another Visualization in a Dossier

Use a Visualization to Filter the Data in Another Visualization Once you add visualizations to a dossier, you can use one visualization to filter or highlight data in another visualization. Define one visualization as the source. Then, select the other visualizations you want to filter or highlight as targets. The target visualizations only display or highlight data that also appears in the source. Your target visualization can be in any chapter or page within your dossier. Open a dossier with two or more visualizations. To enable a visualization to filter or highlight the data in another visualization Open the dossier  you want to modify. Hover over the visualization to use as the source and click  More   in the top right and choose  Select Target . A   icon appears in the upper left corner of the source visualization. The name of the source visualization appears after  Use visualization  at the top of the screen. If the source visualization...

Prompt-in-prompt(Nested Prompts) in Microstrategy

Prompt-in-prompt(Nested Prompts) in  Microstrategy Nested prompts allows you to create one prompt based on the other and other bases on another, nested prompts allows us to prompt the highest level(Like year) to middle level(like Quarter, then to the low level(like Month). Here you can see how to  create a 3-level deep nested prompt that will prompt the user to select a year, then a quarter within that year, then a month within that quarter. Prompt-in-prompt is a feature in which the answer to one prompt is used to define another prompt. This feature is only implemented for element list prompts . The following procedure describes how to achieve this: Create the highest level filter. This is a filter which contains a prompt on an attribute element list. Create a filter on the attribute "Year." Click "prompt on attribute element list" and click "Next" through the rest of the screens to accept the default values. Do not set any additio...

Setting up a System Manager workflow to execute on a schedule in MicroStrategy

Setting up a System Manager workflow to execute on a schedule in MicroStrategy In some instances, a MicroStrategy user may want a System Manager workflow to execute on a set schedule or after an event has been triggered. This can be accomplished by creating a simple batch file, and scheduling that batch file to execute with a third-party tool like Microsoft Task Scheduler.   Note : To avoid user permission conflicts, the following steps must be performed with highest privileges.   In the following example, a user would like to execute a workflow that restarts the Intelligence Server every day.   1. The user must first have a valid workflow. This particular workflow is a template that is delivered out-of-the-box with System Manager.     2. Save the workflow in  .smw  format.   3. In a text editor (such as Notepad), enter the command line statement that the task scheduler should execute.       4. Save the file in ...