cubos olap

OLAP (on-line analysis processing)It is a kind of software technology that enables analysts, administrators, or executors to quickly, consistently, and interactively access information from multiple perspectives to gain a deeper understanding of data. OLAP is designed to meet decision-making support or specific query and report requirements in multi-dimensional environments. Its core technology is the conce

SQL Server skills: how to monitor and optimize OLAP Databases It is very important to optimize the performance of online analysis and processing. Fortunately, some tools can help monitor and improve the operation of OLAP databases. The Microsoft SQL Server Analysis Service (SSAS) provides a powerful engine used to create and manage data mining applications and online analysis and processing systems. To ac

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

On-Line Analytical Processing (OLAP) system is the main application of Data Warehouse system, specially designed to support complex analysis operations, focusing on decision support for decision-makers and senior managers, and can quickly and flexibly carry out complex query processing of large amount of data according to the requirements of analysts. And in an intuitive and understandable form of the query results provided to decision makers, so that

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

Design and implement OLAP solutionsFirst Lecture IntroductionFirst, what is a data warehouse?Data Warehouse is the warehouse of data! In a foreign language called data Warehouse, referred to as DW.is not bang when down a piece of ah, or we change a professional point of view?A data warehouse is a topic-oriented, integrated, relatively stable, data collection that reflects historical changes and contains business information to support management decis

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

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

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

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

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

[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