mdx dimensions

column.If a hierarchy is created, we recommend that you create a relationship between the hierarchy attributes so that there will be indirect relationships between some attributes and key columns. 5. advanced knowledge of multidimensional database design5.1 computingYou can do three things.Computing member: the member is calculated based on the aggregated value. Pay attention to the differences with name calculation. The fundamental difference is that named computation is for the row set (synta

shown in the left image below to locate the current cell to B7, and then click "Drill Down" Will create a new PivotTable for you as follows right, the dimensions on all rows and columns are migrated to the filter area, then you can put the other dimensions you want to observe in the row and column area, the service side of the calculation is greatly reduced, so the front-end data loading efficiency will be

Analysis Services. Even so, before continuing the discussion, we should first clarify the important terms and concepts involved in this article and applied in the broad OLAP and data drilling fields. first, it is important to distinguish OLAP from data drilling. OLAP-based data sources or data warehouses can be subdivided into one or more multidimensional datasets, which are a multidimensional data structure that can be queried using MDX. A multi-di

select PropertiesYou will see a series of status information during deployment. If the deployment succeeds, the following information is displayed in output:========== Build:1 succeeded or up-to-date, 0 failed, 0 skipped ==================== Deploy:1 succeeded, 0 failed, 0 skipped ==========Next we can browse the cubes that were successfully deployed.In Cube Designer, open Adventure Works dw2012.cube, and switch to the browser page.2. Browser page compositionThe left part mainly includes the cu

-Dimensional Datasets· Dimension design (snow star and parent-child latitude)· Unified dimension model (UDM)· Data Cube .· Deploy cube· Cube computing· KPI· Operation· Partitioning· Pivoting· Translation· Browser· Drilling· Set the relationship between dimensions and measurement groups· General dimension relationships and definitions· Reference dimension relationships and definitions· Fact dimension relationships and definitions· Multi-to-multi-dimens

The structure of the cube in SSAS When building the cube and writing MDX in SSAS (SQL Server Analysis Services), it is easy to get confused by some nouns, such as Dimension (dimensions), Measures Dimension (metric dimensions), Measure (Metric), hierarchy (hierarchy), Attribute hierarchy (property hierarchy), Level (rank), cell (unit), member (members), member p

I. Question proposal When you use MDX to query a multi-dimensional dataset, you often encounter this situation. The row or column axis contains multiple dimensions (CrossJoin), and CellSet returns the values of multiple dimension members, when converting CellSet to DataTable, we hope to return the values of these dimension members. However, the method found on the Internet, as described in the previous "Fus

. xml and copy it to E: \ apache-Tomcat-7.0.40 \ webapps \ Mondrian \ WEB-INF \ queries (4) Write accessinfo. jsp in the presentation layer, which is located in E: \ apache-Tomcat-7.0.40 \ webapps \ Mondrian \ WEB-INF \ queries The metric mesures is the specific Log Access volume (amount). The dimensions are access time, website num, and user IP. Expand and close the drill-up and drill-down operations in OLAP corresponding to all time and all si

using the multi-dimensional dataset wizard, you can easily define a simple multi-dimensional dataset in SQL Server 2005. This wizard helps you define measurement values and dimensions for cubes. In this wizard, you can define a multi-dimensional dataset based on the data source, or you can define a multi-dimensional dataset without using an existing data source. If you define a cube without using an existing data source, use this wizard to generate an

tools to browse the data. Choose cube-Browser: You only need to drag dim-related dimensions to the corresponding dimension area (where rows and columns are all dimensions), and then drag the Measurement corresponding to measures to the data area to view the data. A simple multi-dimensional dataset has been built. Here, it is just a matter of sensibility. A careful friend may see that his column and c

Original: SSAS Series--"03" Multidimensional data (Cube object)1. What is cube?A simple Cube object consists of basic information, dimensions, and measure groups. Basic information includes the name of the cube, the default measure for the cube, the data source and storage mode, and so on. Dimensions are the actual dimension groups used in the cube. All dimensions