olap db

In Oracle database systems, many people are not aware of what their business type is, and are beginning to blindly seek optimization methods, often using OLAP methods in OLTP, or OLTP methods used in OLAP. Such use, sometimes, performance without any improvement, or even greatly affect the performance, get counterproductive effect. So, before you optimize your system, figure out your business type.1. What i

throughput is often dependent on the number of disks, this time, Cache basically no effect, the database read-write type is basically db file scattered read with direct path read/write . Should try to use more than the number of disks and relatively large bandwidth, such as 4Gb the fiber interface.In the OLAP system, partitioning technology and parallel technology are often used.The importance of partition

IBM DB2 Data Warehouse Edition is a set of products that combine the strengths of DB2 Data servers and the robust business intelligence infrastructure from IBM. DB2 DWE integrates Core Components for warehouse management, data conversion, data mining, and OLAP analysis and reporting. In this article, we focus on the OLAP Service provided by DB2 DWE. What is OLAP?

Is OLAP a bi? Posted by admin on 12月 1st, 2007. Filed in 技术--> In order to determine the business activities carried out by the business strategy and market strategy, enterprises must analyze and make decisions based on multiple reports and reports in the analysis and decision-making process of Bi projects. Most of the ideal marketing activities require sales reports for each business point, and performance charts for each product to be sold by sea

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

In order to determine the business activities carried out by the business strategy and market strategy, enterprises must analyze and make decisions based on multiple reports and reports in the analysis and decision-making process of Bi projects. Most of the ideal marketing activities require sales reports for each business point, and performance charts for each product to be sold by season. A large amount of accurate and easy-to-Judge data is required. However, it is a huge workl

Outstanding Features Allows for rapid, direct analysis of comprehensive financial, mathematical and statistical functions and computational functions Combine the flexibility of relational databases with the high performance of multidimensional storage to provide a web-enabled platform, easy access to enterprise-wide information enabling rapid application development and data modeling enables multiple users to simultaneously read and write to "what if" applications to support third-party analys

One of the previous articles-the Data warehouse multidimensional data model already provides a brief description of the definition and structure of an overly-dimensional model, as well as the concept of the fact table and the dimension table (Dimension table). Multidimensional data model, as a new logical model, gives the new organization and storage form of data, and the advantage of the analysis is the effective operation and processing based on the model, which is

, mainly for basic and daily transaction processing, such as bank transactions.OLAP is the main application of the data warehouse system. It supports complex analysis operations, focuses on decision support, and provides intuitive and easy-to-understand query results. The following table lists the comparison between OLTP and OLAP: OLTP OLAP User Operator and lower-level manageme

OLAP (Online analytical Processing) is an online data access and analysis for a specific problem. Provides fast, stable, and interactive access to information (multidimensional data) in a variety of possible forms, and allows management decision makers to drill down into the data. first, what is OLAPOLAP (Online analytical Processing) is a kind of software technology that enables analysts, managers, or executives to gain a deeper understanding of data

Welcome to the Oracle community forum and interact with 2 million technical staff to access Oracle Business Intelligence Discoverer (OracleBIDiscoverer), which is a set of business intelligence tools, allows you to query and analyze data stored in Oracle and other databases. As a part of Oracle Business Intelligence 10 Gb, OracleBIDiscoverer is Or Welcome to the Oracle community forum and interact with 2 million technical staff> Oracle Business Intelligence Discoverer (OracleBI Discoverer) is a

The difference between OLAP and OLTP and what is Data Warehouse OLAP is often referred to as a data warehouse. But the data warehouse is only part of OLAP, not all. OLTP multi-index than OLAP, and the real-time requirements of high, updated and modified many. OLAP generally

For more information about the RANET. uilibrary. OLAP project, see my other article here. For whatever reason, sometimes we want to debug on the Silverlight client to view the request parameters sent to the server, so as to better locate the problem. The following method is based on RANET. uilibrary. OLAP project, add a debugging window to its client: Add silverliclient client DEBUG feature in RANET. uilib

I'm not going to introduce the concepts of OLTP and OLAP here, and these are the same DBAs that are required to understand. Today's topic is why binding variables fit in OLTP systems rather than OLAP systems. In some ways, we can look at OLTP and OLAP systems like this, OLTP system small query many and OLAP systems are

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

that grabbed the beach in China in that year, and finally produced many pre-sale countermeasures, for example, you can use the Bitmap header to calculate the sequence of tables in the database stored procedure, and use the program to call Excel com nested stitching. (5) Bi advanced application mode overview-Online Analytical Processing, OLAP) Category: Information Application; Star :*****

First, Basic Concepts Dimension (Dimension): is a specific angle that people observe data, is a kind of attribute when considering a problem, attribute set constitutes a dimension (Time dimension, Geography dimension, etc.). Level of dimension: people looking at a particular angle of data (that is, a dimension) can also have various descriptive aspects of varying degrees of detail (Time Dimension: date, month, quarter, year). Member of the dimension: A value of the dimension that is a de

from data warehouse is the biggest purpose of establishing data warehouse and using data mining. The essence and process of both are two things. In other words, data warehousing should be established first, and data mining can be carried out efficiently, because the data contained in the Data Warehousing itself is clean (No erroneous data involved) and complete, and integrated. Therefore, the relationship between the two may be interpreted as "Data Mining is a process and technology for finding

First, set OLAP, which can be accessed by machines in the LAN through the HTTP protocol. Then, use Excel to connect to OLAP through HTTP. The settings are as follows: 1. Create an OLAP site 1. Find the c: \ Program Files \ Microsoft SQL Server \ msas10.mssqlserver \ OLAP \ bin \ ISAPI Directory, which contains two fi

Converting OLTP data to provide acceptable performance in an OLAP system requires the following procedures to be performed: Merging data You must be able to incorporate all relevant information about a specific project (product, customer, employee) from multiple OLTP systems into an OLAP system. The merge process must address the problem of coding differences between different OLTP systems. For example, a