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

Types of prompts in Microstrategy

Types of prompts in Microstrategy The different types of prompts allow you to create a  prompt  for nearly every part of a report. Prompts can be used in many objects including reports, filters, metrics, and custom groups, but all prompts require user interaction when the report is executed. The correct prompt type to create depends on what report objects you want users to be able to base a filter on to filter data, as described in the list below. Filter definition prompts   allow users to determine how the report's data is filtered, based on one of the following objects: Attributes in a hierarchy : Users can select prompt answers from one or more attribute elements from one or more attributes. The attribute elements that they select are used to filter data displayed on the report. This prompt lets you give users the largest number of attribute elements to choose from when they answer the prompt to define their filtering criteria. For example, on a repor...

Microstrategy "Error type: Odbc error. Odbc operation attempted

 "Error type: Odbc error. Odbc operation attempted: SQLExecDirect. [HYT00:0: on SQLHANDLE] [MicroStrategy][ODBC Oracle Wire Protocol driver]Timeout expired" is shown when executing reports from Web When users are trying to execute some reports in MicroStrategy web in particular, they may receive the Error “SQL Generation Complete Index out of range” and “Timeout expired” error as shown below: Possible Causes: One possible cause is that the MicroStrategy Intelligence Server using a cached database connection that was already dropped by the RDBMS. To resolve this: Admin should delete the database connection caches and create a new DSNs in case they are sharing DSNs to connect to different databases. In addition, change the settings for the ‘Connection lifetime’ and the ‘Connection idle time out’.  Follow the steps below to perform the mentioned changes and verify the report after each step and some of the settings require i-server r...

Customers Who Live in the Same City as Call Centers

Customers Who Live in the Same City as Call Centers Your new utility company has call centers located throughout the country, and your recent surveys indicate that customers who live in the same city as a call center are particularly satisfied with service due to extremely rapid repairs during power outages. To begin your new advertising campaign, you want to generate a list of Call Centers that coincide with Customer Cities. The following steps create an attribute-to-attribute qualification filter that generates the list of desired cities. To Create an Attribute-To-Attribute Qualification that Compares the Call Center and Customer City Attributes In MicroStrategy Web, log in to a project. Open any folder page (for example, click Shared Folders on the home page). Click the  Create Filter  icon  . From the Object browser on the left, select the  Customer City  attribute from the Customers hierarchy and drag it to the filter pane on the right. Change  Qualify...

Settings for Outer Join between metrics in MicroStrategy

Settings for Outer Join between metrics in MicroStrategy MicroStrategy adopts multi-pass logic to determine the execution plan for a report. This means that every metric is evaluated in separate SQL passes. Outer Joins come into play when MicroStrategy Engine merges the results from all SQL passes into one report. For a multi-pass report, different Outer Join behaviors can give the user completely different results. In addition, report metrics can be of different types which can, in some cases, influence the result of the outer join. In MicroStrategy, there are two settings that users can access to control Outer Join behavior : Formula Join Type and Metric Join Type . Metric Join Type: VLDB Setting at Database Instance Level Report and Template Levels Report Editor > Data > Report Data Options Metric Level   Metric editor > Tools > Metric Join Type Control Join between Metrics Formula Join Type: Only at Compound/Split...

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...

MicroStrategy Hadoop Gateway operation modes

MicroStrategy Hadoop Gateway operation modes MicroStrategy Hadoop Gateway is a native connector which was built based on Spark 1.6.x. You can choose one or more data files from Hadoop HDFS and load them into MicroStrategy Intelligence Server. Data files can be published as either an In-Memory Cube or a Live Connect Cube. MicroStrategy Hadoop Gateway supports three operation modes : YARN client Standalone (HDP cluster does not support Standalone) Local YARN client mode: The driver runs in the client process, and the application master is only used for requesting resources from YARN. Running in this mode requires YARN service to be enabled on your Hadoop cluster. Standalone mode:  MicroStrategy Hadoop Gateway uses Spark Master to coordinate data processing. Local mode:  no application is deployed in the Spark nodes. All data processing is executed in the MicroStrategy Hadoop Gateway host. This modality is intended for testing and troubleshooting.

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: ...

Custom Tooltips in Microstrategy developer and Web

Custom Tooltips in Microstrategy developer and Web The following table describes the macros you can use to customize graph tooltips in both MicroStrategy Developer and MicroStrategy Web: Macro Information Displayed {&TOOLTIP} All relevant labels and values associated with a graph item. {&GROUPLABEL} Name of the graph item's category. This value is often the graph item's attribute element information, as attributes are commonly used as the categories of graph reports. {&SERIESLABEL} Name of the graph item’s series. This value is often the graph item's metric name information, as metrics are commonly used as the series of graph reports. {&VALUE} The value of a given data point. {&XVALUE} The X-value of a data point. Only applicable to Bubble charts and Scatter plots. {&YVALUE} The Y-value of a data point. Only applicable to Bubble charts and Scatter plots. {&ZVALUE} The Z-value of a data point. Only applicable to Bubble charts and Scatter plots. {...

HyperIntelligence Training Videos

HyperIntelligence  Training Videos           Design and build hyper cards Optimizing Datasets for HyperIntelligence Using the HyperIntelligence for Office Outlook Add-In Building HyperIntelligence Cards Using HyperIntelligence for Mobile on Android Deploying HyperIntelligence for Outlook Insights On-The-Go: HyperIntelligence for Mobile Building HyperIntelligence Profile Cards Designing Custom HyperIntelligence Cards Using the Calendar with HyperIntelligence for Mobile

Conversion failed when converting the varchar value 'xxxx' Microstartegy

Error "Conversion failed  Error "Conversion failed when converting the varchar value 'xxxx' to data type int" happens when displaying Picture type attribute form using ApplySimple in expression against SQL Server 2012 in MicroStrategy  The attribute form is in Picture type and defined with the following ApplySimple function with Int type column [ID_BARANG] as the input parameter against SQL Server 2012.  Solutions is to use  Concat("Images/demo/s", [BARANG_ID_INT], ".png") ApplySimple("'images/demo/'&#0&'.png'", [ID_BARANG]) However, when running reports with attribute to show the picture form in Web, error message happens in both Web and Developer. Conversion failed when converting the varchar value 'images/demo/s' to data type int. STEPS TO REPRODUCE: SQL Server 2012 database should be used as the warehouse.  Create an attribute form as type Picture and us custom expressi...