cubos olap

Some practical tips for using OLAP functions The online analytical Processing,olap function is very flexible and powerful. By using these functions, you can find a simple solution for some problems that are either to iterate over one or more cursors, or to be recursive. In some other cases, it is much easier to use OLAP functions or auxiliary tables than to not

data sources; Time-Varying: data storage provides information from a historical perspective (such as the past 5 to 10 years); Non-Easy: Data Warehouses are physically separated to store data (It only requires two data access operations: data initialization and data access) Data Warehouses support on-line analytical processing, which is different from operating databases.Supported online transaction processing (on-line transaction processing ). Note: distinguish OLTP from

Converts OLTP data to provide acceptable performance in the OLAP system, which requires a series of operations. Merge data First, we must be able to process all relevant information of a specific project (products, customers, employees) from multiple OLTP (on-line transaction processing, online transactions) the system is merged into an OLAP (Online Analytical Processing, Online Analytical Processing

July is the taglib of Mondrian's performance layer, which maintains a good development progress.I have never used it for a long time. I forgot about it and wrote down my little experiences. 1. Localization1.1 search for all resources. properties files and convert them to resources_zh.properties files.1.2 native2ascii resources_zh.properties1.3 search for all XML files under the WEB-INF/jpivot and convert them to xxx_zh.xml 2. ArchitectureJuly's architecture seems an alternative, but it is actual

In 1960s, E. F. codd, the father of relational databases, proposed a relational model to promote the development of online transaction processing (OLTP) (data is stored in the form of tables rather than files ). 1993, E. f. codd proposed the OLAP concept, and believed that OLTP could not meet the needs of end users for database query and analysis, and SQL for simple query of large databases could not meet the requirements of end users for analysis. A

Why is OLAP generated?With the development of database technology, the amount of data stored in database is transition from M-byte and g (Gigabit) bytes to T-byte and P-byte, meanwhile, the user's query needs are more and more complex, and the design is not only to query or manipulate one or several records in a relational table, Moreover, the data analysis and information synthesis of the thousands records in many times, the relational database can n

Tags: instance error log display encryption fill span system log src parameter configurationFirst, the problem found Failed to start data Analysis Service for SQL Server View system log errors as follows: A detailed error is displayed after double-clicking the error: There is an error in the metadata manager. Instantiate from file "\\?\c:\program Files\Microsoft SQL Server\msas11. An error occurred while mssqlserver\olap\data\tfs_analysis.0.db\vdimt

Introduction RANET. uilibrary. OLAP is an open-source Silverlight project used to display server-side OLAP data on a browser client. It contains many controls (such as MDX designer and pivot grid) to conveniently display and operate OLAP data sources on the client. Official site Http://ranetuilibraryolap.codeplex.com/ Http://code.google.com/p/ranet-uilibrary-

Online Transaction Processing OLTP (on-line transaction processing) OLTP is the main application of traditional relational databases, mainly for basic and daily transaction processing, such as bank transactions. OLAP (on-line analytical processing) OLAP is the main application of the data warehouse system. It supports complex analysis operations, focuses on decision support, and provides intuitive and easy

Mondrian is an open-source project. An OLAP (Online Analytical Processing) engine written in Java. It implements queries using the MDX language and reads data from relational databases (RDBMS. The results are displayed in multiple dimensions through Java APIs. We all know that Online Analytical Processing (OLAP) needs to analyze a large amount of data in real time. The term "online" means that the system mu

Today's data processing can be broadly divided into two broad categories: online transaction processing OLTP (on-line transaction processing), online analytical processing OLAP (On-line Analytical Processing). OLTP is the main application of the traditional relational database, mainly basic and daily transaction processing, such as bank transaction. OLAP is the main application of Data Warehouse system, sup

Profile On-Line Analytical processing (Online analytical processing, hereinafter referred to as OLAP) is a fast software technology that shares multidimensional information and online data access and analysis for specific problems. OLAP is designed to support complex analysis operations, focusing on decision support for decision-makers and senior management, and can quickly and flexibly perform complex que

"transforms" according to the storage model requirements of the DW The data format, and then "load" the process to the DW, it should be emphasized that the DB model is the ER model, followed byNormalization ofdesign principles, and DW's data model isSnowflake Typestructure or star structure, with the topic-oriented, problem-oriented design ideas, so the DB and DW model structure is different, need to be converted.(4)olap--Online Analysis System, simp

Parallel Database for OLTP and OLAPJust ASurvey article on materials in parallel database products andTechnologies for OLTP/OLAP applications. It mainly covers majorCommercial/academic efforts on developing parallel DBMS to solve theEver growing large amount of relational data processing problem.Part I–parallel DBMSs1.1 Parallel Database for OLAP (SHARED-NOTHING/MPP)TeraData–teradata Home–teradata dbc/1012