olap functions

Tags: mysql performance optimization OLAPA multi-dimensional analysis, rough fast solution is to use ROLAP (relational OLAP). Data is modeled after dimensions and stored in the Mysql,rolap engine (such as open source Mondrian) is responsible for translating OLAP requests into SQL statements to the database. The OLAP computation analysis function causes the MySQL

development and OLAP related small projects, there is a question that we must clarify. It is also a very important one, that is, what the customer actually needs? what exactly do they want us to develop? What are the functions? This is a user requirement analysis that is often emphasized in system analysis. it must be in place. However, as a system analyst, after learning about the user's needs analys

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

Before we saw the data and the preprocessing of the data, where was the data after processing? Put it in a place called "Data Warehouse".Basic concepts of data warehousing: Definition of Data Warehouse-topic-oriented, integrated, time-varying, non-volatile Operational database Systems VS data Warehouses-Why use Data Warehouse analytics data (OLAP vs OLTP) Data Warehouse Architecture-three-tier architecture: Bottom (Data Warehouse serv

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

How to select appropriate tools in the data warehouse project, so that engineering and technical personnel and business management personnel often face difficulties when choosing OLAP tools, generally, we should consider the features, applicability, performance, scalability, and future development trends of the product in five aspects. In general, the importance of these five aspects is very difficult, but you should pay attention to the following poi

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

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

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 appea

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

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