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
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
What is the difference between OLAP and OLTP and what is data warehouse?OLAP is usually called a data warehouse. However, data warehouses are only part of OLAP, not all.OLTP has more indexes than OLAP, and has high requirements on real-time performance, with many updates and modifications.OLAP usually queries and analy
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
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
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
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
[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
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)
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