olap vs in memory

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Remove obstacles to OLAP when managing Oracle OLAP

OLAP options in Oracle9 I Database Release 2 introduce the analysis workspace and truly integrate the relational and multidimensional data types in the same Database. So far, the only way for developers and DBAs to use the analytic workspace is to use command line API calls to manually build them. However, with the latest Analytic Workspace Manager (AWM) version, you can better utilize the multidimensional features in Oracle

How to monitor and optimize OLAP databases and monitor olap Databases

How to monitor and optimize OLAP databases and monitor 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 applicatio

OLAP introduction (combined with personal work), olap introduction combined with personal

OLAP introduction (combined with personal work), olap introduction combined with personalOLTP and OLAPTraditional database systems are OLTP and can only provide raw data operations. Analysis is not supported. OLTP system: Performs online transaction and query processing. General supermarket invoicing system, functions: Registration, accounting, inventory and sales records, etc,

OLAP client Flex OLAP View user manual

OLAP ClientFlexolapview User ManualOverview flexolapview component is a method for multidimensional analysis.FLASHcontrol, available through theXMLAstandard protocol connected toOLAPservers, such as: Microsoft'sSQL ServerAnalysis Server (MS ssas2005/2008) andPentahoAnalysis Services (Mondrianand so on, it can use the pivot table and a variety of charts to display multidimensional Analysis data for real-time business analysis. This article describes

kylin-Practice OLAP

multidimensional array is stored in the array cell, the advantage is that the query is fast, the disadvantage is that the data volume is not easy to control, the problem of dimension explosion may occur.The challenge of OLAP in the Big Data eraIn the last 20 years, the ROLAP technology with the development of MPP parallel database technology, especially with the support of the storage technology, realized the big leap of analysis ability, along with

Introduction and comparison of OLAP, OLTP

Introduction to OLTP and OLAP 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, daily transaction processing, such as bank transaction. O

Oracle OLAP Component Reconstruction

1. Oracle OLAP Component Description For a description of all Oracle components, refer: Oracle8i/9i/10g/11g component (components) Description Http://blog.csdn.net/tianlesoftware/article/details/5937382 OLAP (on-line analytical processing), also known as DSS decision support system. OLAP is the main application of the data warehouse system. It supports complex

Introduction to the DB2 data warehouse OLAP Service

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?

Concepts and optimizations for OLTP (online transactional processing) and OLAP (Online analytical Processing)

can improve the speed of translation. If you only translate a page of books, but also to assign different people to translate different lines, and then combine, there is no need, because in the time allotted work, a person may have been translated.Bitmap indexing is also the same, if used in the OLTP environment, it is easy to cause blocking and deadlock. However, in the OLAP environment, the query speed may be increased because of its unique charact

Old money says big Data (1)----Big data OLAP and OLTP analysis

analysis, which is the common analysis method: Ad-hoc query: Ad hoc queries are users according to their own needs, flexible choice of query conditions, the system can be based on the user's choice to generate the corresponding statistical reports. Fixed field analysis: That is, the user's query conditions are fixed, we can follow the defined fields to provide reports, such as weekly, monthly Keyword query: For example, the user's address is Beijing Chaoyang District xxxxx, the

Batchdb:efficient Isolated Execution of Hybrid Oltp+olap workloads for Interactive applications report

In this paper we present BATCHDB, a in-memory database engine designed for hybrid OLTP and OLAP workloads. BATCHDB achieves good performance, provides a high level of data freshness, and minimizes load interaction between the TRA Nsactional and analytical engines, thus enabling real time analysis over fresh data under tight SLAs for both OLTP and OLA P workloads. This article describes a

Is OLAP a bi?

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

Understanding multidimensional data structures for OLAP

improve the response speed. (2) Multidimensional service engine Most OLAP applications perform multidimensional computations on the multidimensional services engine and have good performance. Because this approach optimizes both the engine and the database, the full memory on the server guarantees the efficient computation of a large number of arrays. (3) Client Computing on the client computer require

OLAP tools and business intelligence

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

On the powerful functions of business intelligence tools OLAP

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

Use OracleDiscoverer and OLAP options

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

What is OLAP and OLTP)

What is OLAP and OLTP Source: http://www.itisedu.com/phrase/200604230827105.html Http://www.huihoo.com/database/dw2.html Today's data processing can be roughly divided into two categories: online transaction processing OLTP (on-line transaction processing), Online Analytical Processing OLAP (on-line analyticalProcessing ).OLTP is the main application of traditional relational databa

What is online analytical processing (OLAP)

The concept of online analytical processing (OLAP) was first proposed by the father of the relational database, E.f.codd, in 1993, and he also presented 12 guidelines on OLAP. OLAP has aroused a great deal of response, OLAP as a class of products and online transaction processing (OLTP) clearly distinguished. Today's

Data cube----dimension and OLAP

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

Online Analytical Processing for Oracle (OLAP)

The concept of online analytical processing (OLAP) was first proposed by the father of the relational database, E.f.codd, in 1993, and he also presented 12 guidelines on OLAP. OLAP has aroused a great deal of response, OLAP as a class of products and online transaction processing (OLTP) clearly distinguished. Today's

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