olap meaning

The difference between OLTP and OLAP Online transaction processing OLTP (on-line transaction processing) mainly performs basic daily transaction processing, such as adding and deleting database records. A transaction record in a bank, for example, is a typical business.The features of OLTP typically include:1. High real-time requirements. I remember before going to college, the bank transfer, the next day to get to the account, and now is minutes to t

Label:After the Oracle 10g R2 was installed, the alert log was found to have the following error when starting the database: Database Characterset is UTF8 Replication_dependency_tracking turned off (no async multimaster replication found) Warning:aq_tm_processes is set to 0. System operation might be adversely affected. Fri APR 24 13:48:03 2015 in FILE/U01/APP/ORACLE/ADMIN/EPPS/UDUMP/EPPS_ORA_24778.TRC: Ora-00604:error occurred at recursive SQL level 1 Ora-12663:services required by clien

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

The concept of online analytical processing (OLAP) was first proposed by the parent of the relational database e.f.codd in 1993, and the proposed OLAP has aroused great repercussions, and OLAP is clearly distinguished from online transaction processing (OLTP) as a class of products.Today's data processing can be divided into two broad categories: online transacti

different perspectives, the query and analysis results can be presented to decision makers in an intuitive and easy-to-understand manner.The Logical Data Model Used by OLAP is a multidimensional data model.Common OLAP multidimensional analysis operations include roll-up, drill-down, slicing, chunking, and rotation. Multi-dimensional data models are implemented in three ways: ROLAP structure, molap structur

Cloveretl Cloveretl is a data ETL framework that extracts business data and converts it to the type required by OLAP. It is still stored in relational databases. Typically, the order and orderitem tables in the parent-child relationship need to be converted into a fact table. In orderitem, a large amount of redundant order data, such as date, customer, and branch, is required for statistics convenience. It seems that this is only a few lines in the c

As mentioned above, Mondrian is the core engine of OLAP. It is responsible for computing and caching data from relational databases and responding to queries from the presentation layer using the ms mdx syntax. The specific manifestation is a jar, which is started with Tomcat. After reading the foodmart sample, you should do it yourself. The first step is to design the OLAP database structure. Compared w

MDX is mainly used in OLAP query language, full name: Multi-dimensional Expression. Syntax is similar to the Structured Query language SQL for OLTP, but there is a big difference. Look at the Sql-server online Help, combined with the company's existing OLAP implementation, a simple study.1: The Concept: Hierarchical structureFor a few other concepts: dimensions, levels, members, attributes are better unders

Label:DB, ETL, DW, OLAP, DM, BI relationship structure diagram Here are a few words about some of their concepts: (1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not ap

DB, ETL, DW, OLAP, DM, BI relationship structure diagramHere are a few words about some of their concepts:(1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not appear in

My colleague asked a very simple question: how can I retrieve the minimum value of another column in each partition? create table t1 (int c1, int c2); If the partition is based on C2, 0-10, 10-20, 20-30, 30-40, 40-50 insert into t1 values(101, 1);insert into t1 values(102, 2);insert into t1 values(111, 11);insert into t1 values(112, 12);insert into t1 values(121, 21);insert into t1 values(122, 22);insert into t1 values(131, 31);insert into t1 values(132, 32);insert into t1 values(133,

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

[Original article: http://feigme.javaeye.com/blog/149641] The differences between online transaction processing (OLTP) and Online Analytical Processing (OLAP) are mainly distinguished by the following five points.User and system orientation:OLTP is customer-oriented and used for transaction and query processing.OLAP is market-oriented and used for data analysisData content:The OLTP system manages the current data.The

Tags: OLAP online analytics for Data warehouse applicationsRelated articles:Data Warehouse Application (i): Data Warehouse model designData Warehouse Application (ii): Data extraction, transformation, loading (ETL)前言：有关数据仓库的研究，并不仅仅停留在理论上。目前，几种主要的RDBMS产品，如Oracle、SQL Server、Informix和 Sybase等，都可以为用户提供数据仓库项目的开发工具；而一些通用的应用程序开发平台，如Delphi等，也能对数据仓库项目的开发提供有效的支持。我们将使用Microsoft SQL Server 2005提供的数据仓库工具SSAS对数据仓库中的数据进行OLAP