sql server olap cube

analysis, and is of high performance (still dependent on design).The SQL Server integration Service, which is used primarily to extract data incrementally from the original database (SQL Server/oracle/mysql/xml/excel, etc.), is cleaned, consolidated, and evaluated and loaded into the Data warehouse. The integration pr

The topic of today's blog is: parameter linkage solution. Environment: Data Warehouse + OLAP (cube) + Reporting Service. Effect: multiple parameters (1, 2 ,......) Achieve interaction. First, let's talk about the principle. A data warehouse consists of fact tables and dimensions. I understand that fact tables are actually a table composed of multiple dimensions related to a topic and the values of these dim

Tags: 1 Download the JDBC driver for SQL Server first. See the following link address: [1] http://msdn.microsoft.com/en-us/data/aa937724.aspx[2] Google input into SQL Server JDBC is also available. [3] Here Sqljdbc4.jar is the jar package we need 2 download Pentaho of the multidimensional data

Skills for using the union, cube, rollup, and cumpute operators. Skills for using the union, cube, rollup, and cumpute operators. /* -- 1 the UNION operator combines two or more query results into a single result set. There are two basic rules for query result sets using UNION: 1. The columns and columns in all queries must be in the same order. 2. Data type must be compatible A. The UNION result set colum

result set is the same as the preceding result, but the following two rows are returned at the end of the result set: ALL Blue 225.00 ALL red433.00 The CUBE operation may combine Item and Color values to generate rows. For example, CUBE not only reports all possible combinations of Color values (Red, Blue, and Red + Blue) combined with Item value Chair ), It also reports all possible combinations of Item v

rollup (same as with Cube) 1 Select name, course,sum(score),GROUPING(name) 2 from #temp 3Group by name, course 4 with rollup When grouping is specified as "name", only the last line is added with rollup. 1 Select name, course,sum(score),GROUPING(course) 2 from #temp 3Group by name, course 4 with rollup When grouping is specified as a "course", the third, sixth, Nineth, and last lines are added with rollup. When a row is added by the

Cube operator To use the cube, you first need to understand the group by In fact, the difference between cube and rollup is not very large, but there is a difference between the possible combinations of creating and summarizing groupings based on the GROUP BY clause, The cube will return more possible combinations. If

server| detailed Cube operatorTo use the cube, you first need to understand the group byIn fact, the difference between cube and rollup is not very large, but there is a difference between the possible combinations of creating and summarizing groupings based on the GROUP BY clause,The

How to automatic process SSAS cube using SQL Server agentjobAfter connecting to the Analysis Server, right click onthe Cube and select Process650) this.width=650; "Width=" 554 "height=" 368 "title=" 1.png "src=" http://s5.51cto.com/wyfs02/M02/88/6C/ Wkiol1f3dlgqxfuwaab3auxtn

Tags: mysql performance optimization OLAPA multi-dimensional analysis, rough fast solution is to use ROLAP (relational OLAP). Data is modeled after dimensions and stored in the Mysql,rolap engine (such as open source Mondrian) is responsible for translating OLAP requests into SQL statements to the database. The OLAP co

a relational database such as a DB2 universal database, or to store data on a Hyperion Essbase multidimensional storage. When you select a relational database storage method, multidimensional data is organized into the fact and space table called "star structure", so that the data can be accessed in standard SQL. The star structure is automatically generated, saving you time and eliminating the need to define and import the fact table. Using a rel

Label:Transferred from: http://www.cnblogs.com/dyufei/archive/2009/11/12/2573974.html Self-evident, look at SQL fully understand, do not need to explain too much, good, share: The result set generated by the ROLLUP operator is similar to the result set generated by the CUBE operator. Here are the specific differences between CUBE and ROLLUP: The result

is returned. Formula:Example:Select sex,sclass,sumfromgroupbygrouping sets (Sclass,sex)Results:Let's look at the first row of data in the result set, grouping_id (Sclass,sex) =grouping (sclass) *2^1+grouping (Sex) *2^0In the first row of data, the grouping (sclass) result is 1, grouping (sex) result is 0, the concatenation of the binary data is 10,grouping_id (sclass,sex) =1*2^1+0*2^0 result is 2, The grouping_id () in each row is computed in this way.Summarize: The

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 datas

server|sqlserver| data The construction and analysis of SQL Server Data Warehouse (i) Basic concepts: 1. Cubes: Cubes are the primary object in online analytical processing (OLAP) and are a technology that allows fast access to data in a data warehouse. A cube