olap functions

data dump, it will be in the db of a point in time state, "extract", according to the DW storage model requirements, "conversion" Data format, and then "load" to the DW process, it should be emphasized that the DB model is ER model, conform to the paradigm design principle, and DW data model is a snowflake structure or star structure, with the topic-oriented, problem-oriented design ideas, so the DB and DW model structure is different, Conversion is required. (4)

A data warehouse can be used as a data source for data mining, OLAP, and other analysis tools. Because the data stored in a data warehouse must be filtered and converted, the wrong data can be avoided, the result is incorrect.Data Mining and OLAP are used as analysis tools. The difference is that OLAP provides users with a convenient multi-dimensional viewpoint a

OLAP (On-line Analytical Processing) online analytical processing, also known as transaction-oriented processing, is characterized by the fact that the user data received by the foreground can be transferred immediately to the computing center for processing and the processing results are given in a very short period of time. is one of the ways to quickly respond to user actions.OLTP (on-line Transaction processing) online transaction processing, whic

Overview One of the most flexible controls in our library is the grid control. viblend DataGrid for Silverlight is the first fully functional OLAP grid for Silverlight. it brings together the features of traditional data grid controls, hierarchical grids and Excel-like tables. viblend DataGrid for Silverlight supports both data bindings and complete Unbound mode. you can visualize a database table, bind to a generic collectionor populate the grid's

I have some experiences in using Oracle OLAP recently. Take a note: Oracle data warehouse has many implementation methods. I know two methods: One is ROLAP, which is based on fact table and dimension table. These tables are based on relational Tables, that is, general partition tables. Based on these partition tables, materialized view and partition are added, the statistical information and detail information of summary are provided. The report deve

OLTP: on-line transaction processing online transaction processing system, also known as a transaction-oriented processing system. Its basic feature is that customers' raw data can be immediately transmitted to the Computing Center for processing, the processing result is provided in a short time. OLAP: On-lineanalyticalprocessing online analysis and processing system. The data converted from the raw data that truly understands the user and truly ref

JPivot is the taglib of Mondrian's performance layer and has maintained good development progress. has been a long time no use, while completely forget before, the small experience to write down. 1. Chinese 1.1 Find all resources.properties files, Han to resources_zh.properties file 1.2 native2ascii resources_zh.properties Resources_ Zh.properties 1.3 To find all the XML files under Web-inf/jpivot, Han into Xxx_zh.xml 2. The architecture JPivot architecture looks different, but in fact it is a

, for example, for OLAP analysis, we look for people who do not pay the money to the telecom operator in a timely manner. In general, we will analyze that people with low incomes often do not pay in time. Through analysis, it is found that 71% of the poor who do not pay in time. Data Mining is different. It analyzes the cause by itself. The reason may be that people outside the Fifth Ring Road do not pay the money in time. These conclusions are of gre

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 dimensions. A dimension is a dictionary. When yo

OLAP system in doing statistical analysis task is very consuming resources, if just and your job task time coincide, will cause the system resources nervous, their task runs very slowly. Here is a statement that adjusts the start and length of the Oracle statistics task, bypassing the peak of the business and making the statistics task run when the system is idle 1. Query automatic statistic Information task execution time select T1.window_name, T1.

Recently, I was engaged in a small project related to OLAP, of course, in the Web architecture. I used Dundas controls that are commonly used in the aspect of display. In VS 2005Developed in this section. during development, every browsing is in the integration environment of Vs, and there is no problem in reading Multi-Dimensional Datasets every time.But when I want to generate a website and run it on the IIS server, a problem occurs: I couldn't fig

How BI projects are developed:Learn how OLAP is analyzed:Multidimensional modeling analysis of data, that is, the design of their own data, then the program automatically generate the data of the square bodyData side body:1. Automatic table structure, only the columns you need2. Generate an SQL statement (with query criteria)3. Cache sql, through your pre-defined multidimensional analysis, establish the relationship between the fact table and the dime

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 concurrent transaction. with this, Oracle occu

Using the current banking network system and data, the system mainly implements the following functions: (1) Bank Card Management Information System A. Customer Information Management: analyzes and manages the information, transactions, account balance, and points of the cardholder. B. Customer Credit Evaluation: evaluates and queries and modifies the credit grade of the cardholder. C. Special Merchant information management: analyzes and manages