Super Cubes in MicroStrategy 2019

Beginning in MicroStrategy 11.0 and 2019, users will notice objects referred to as "Super Cubes". Super Cubes are simply a renaming of what was previously referred to as MTDI (Multi Table Data Import) Cubes.
Note that only the naming convention has changed, as the functionality remains the same. This name change is visible in MicroStrategy Workstation and MicroStrategy Web.

In MicroStrategy Workstation, right click on any cube created via Data Import and select Properties. The object Type is listed as Super Cube:

User-added image

This can also be seen when editing or authoring a dossier. In your Datasets panel, hover over the name of your dataset. The tooltip will show the dataset type listed as a Super Cube.

User-added image

Comments

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 . Symbol

Microstrategy Caches explained

Microstrategy Caches Improving Response Time: Caching A cache is a result set that is stored on a system to improve response time in future requests. With caching, users can retrieve results from Intelligence Server rather than re-executing queries against a database. To delete all object caches for a project 1 In Developer, log into a project. You must log in with a user account that has administrative privileges. 2 From the Administration menu, point to Projects , and then select Project Configuration . The Project Configuration Editor opens. 3 Expand Caching , expand Auxiliary Caches , then select Objects . To delete all configuration object caches for a server 1 Log in to the project source. 2 From the Administration menu in Developer, point to Server , and then select Purge Server Object Caches . 4 Click Purge Now . To purge web cache follow the steps in the link below: https://microstrategyanalytics.blogspot.com/2018/12/purge-we

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, click the link co

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 perform transf

Microstrategy Dossiers explained

Microstrategy Dossiers With the release of MicroStrategy 10.9, we’ve taken a leap forward in our dashboarding capabilities by simplifying the user experience, adding storytelling, and collaboration.MSTR has evolved dashboards to the point that they are more than dashboards - they are interactive, collaborative analytic stories . Ultimately, it was time to go beyond dashboards, both in concept and in name, and so the've renamed VI dashboards to ‘ dossiers ’. Dossiers can be created by using the new Desktop product or Workstation or simply from the Web interface which replaces Visual Insights. All the existing visual Insights dashboards will be converted to Dossiers With MicroStrategy 10.9, there was an active focus on making it easier to build dashboards for the widest audience of end users. To achieve this, some key new capabilities were added that make it easier to author, read, interact and collaborate on dashboards without any formal training. In fact, the add

OLAP features in Microstrategy

OLAP features in Microstrategy MSTR OLAP Services uses Intelligent Cube Technology—an in-memory version of report data that can 1 About MicroStrategy OLAP Services can be manipulated by the MicroStrategy Analytical Engine. MicroStrategy Desktop, Web, and Office users can slice and dice data in reports within Intelligent Cubes without having to re-execute SQL against the data warehouse. Many of the standard OLAP features that MicroStrategy provides out of the box, such as: Page-by Pivoting Sorting Subtotals Banding Aliasing Outline mode Thresholds etc.. With an OLAP Services license, user can perform additional OLAP analysis, using the following features: Displaying data on the fly: dynamic aggregation, page Creating metrics on-the-fly: derived metrics, Defining attribute elements on-the-fly: derived elements, Filtering data on the fly: view filters and metric filters, Importing data as an Intelligent Cube

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 restarts: Go

Multi-Table Data Import(MTDI) from one or more supported data sources

Multi-Table Data Import(MTDI) from one or more supported data sources In MicroStrategy Analytics Enterprise Web 10 onewards, users can now simultaneously import two or more tables from one or more supported data sources, this feature is called Multi-Table Data Import (MTDI) which has been renamed as Super Cubes in MSTR 2019 (Does it sound like multisourcing for all the users without admin help?) Currently, all connectors in MicroStrategy Web 10 except " OLAP " and " Search Engine Indices " support Multi-Table Data Import. Users are able to add multiple tables/files when doing data import from single connector, as shown below: Users are also able to combine multiple tables/files from different sources and store them into one single Intelligent Cube, as shown below:

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 is a map visualization with multiple layers

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

Microstrategy Analytics

Search This Blog