olap cube design

One of the previous articles-the Data warehouse multidimensional data model already provides a brief description of the definition and structure of an overly-dimensional model, as well as the concept of the fact table and the dimension table (Dimension table). Multidimensional data model, as a new logical model, gives the new organization and storage form of data, and the advantage of the analysis is the effective operation and processing based on the model, which is

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 project can run as a job on a regular basis in SQL Server agent.SQL Server Analysis Service, which is used primarily to analyze data in a

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

Design and implement OLAP solutionsFirst Lecture IntroductionFirst, what is a data warehouse?Data Warehouse is the warehouse of data! In a foreign language called data Warehouse, referred to as DW.is not bang when down a piece of ah, or we change a professional point of view?A data warehouse is a topic-oriented, integrated, relatively stable, data collection that reflects historical changes and contains bus

Oracle was originally designed to be transaction-based, so it won't be authentic in terms of processing analyticdb. Recent developments in Oracle-related technologies have gradually adapted to OLAP needs. 1 partition technology 2 compression technology 3 index organization Table 4 blocks 5 parallel technology 6 memory result set. The original Oracle design is based on a short and sophisticated large-scale c

detail as your Cube increases in size, use, and COM Plexity. The first step in the process was to review your existing aggregates. We'll again use the AdventureWorks DW SSAS database to review the existing aggregations and create new aggregations from Scratch. This database was available for download in CodePlex at:http://msftdbprodsamples.codeplex.com/releases/view/553 Once you has the SQL Server and OLAP

Brief introduction I know exactly what you're trying to say--BPM review and Rubik's Cube? What will be discussed next, PacMan or Facebook? You will certainly ask "scott,bpm Design review and the Rubik's Cube have what relation?" "Well, let me introduce some background information first." I've been using BPM technology for about 15 years and come to the conclusio

Original: BI project notes aggregation functions at design time for cube metricsMicrosoft SQL Server Analysis Services provides several functions to aggregate measures against the dimensions that are included in the measure group. By default, measures are summed by each dimension. However, you can modify this behavior by using the AggregateFunction property. The additive of an aggregate function determines