olap vs in memory

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What is OLAP)

(Reproduced from Peking University Gaoke website, http://www.pku-ht.com /) The concept of Online Analytical Processing (OLAP) was first proposed by E. F. codd, the father of relational databases, in 1993. He also proposed 12 principles for OLAP. The proposal of OLAP has caused a great deal of response. as a type of product,

On the concept of OLAP

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

IBM DB2 OLAP Multidimensional server solution

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

Add the client debugging function to the Silverlight project RANET. uilibrary. OLAP.

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

OLTP data conversion to OLAP data Warehouse

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

What is Bi and OLAP?

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 :*****

OLTP (online transaction processing) and OLAP (Online Analytical Processing) concepts and optimization, oltpolap

OLTP (online transaction processing) and OLAP (Online Analytical Processing) concepts and optimization, oltpolap OLTP, Also called online transaction processing (Online Transaction Processing), Indicating that the transaction is very high. Generally, it is a high-availability online system. It focuses on small transactions and small queries. When evaluating its system, it generally depends on what it executes per second.TransactionAndExecute SQL. In

OLTP and OLAP

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 OLAP is market-oriented for transaction and query processing. It is used for data analysis. data content: OLTP system manages current data. the OLAP

Some knowledge about OLAP-background required by the next project

a normalization of the star mode.. In snowflake mode, dimension tables in star mode are further layered. The original dimension tables may be extended to small fact tables to form partial "hierarchical" areas.It minimizes data storage and combines smaller dimension tables to improve query performance. The snowflake mode increases the number of tables that users must process and the complexity of some queries. But this can make the system more professional and practical, while reducing the gene

Real-time OLAP applications for building commercial systems based on ODS

Abstract: Based on the Data Storage Technology of ODS in the middle layer of DB and DW, a real-time OLAP system for commercial systems is designed from the perspective of application. ODS is used to overcome the problem that DW is too bloated for decision-making and is not suitable for enterprises' real-time middle-level decision-making. Key words: Data Warehouse (DW), operational data storage (ODS), Real-Time Online Analytical Processing (

Figuring out your business type--OLTP or OLAP

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

Data mining, data warehousing, and OLAP relationships [favorites]

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

OLAP solution for Excel access to LAN

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

Some basic knowledge about OLAP and OLTP

Some basic knowledge about OLAP and OLTP Http://www.searchdatabase.com.cn/ShowContent_9526.htm Guidance:ArticleThis section describes some basic knowledge about OLAP and OLTP. Keywords: olap oltp basic knowledge Loading data... OLTP: on_line transaction processing online transaction processing OLAP

Differences among ROLAP, MOLAP, and HOLAP in OLAP Technology

OLAP (on-line analysis processing) enables analysts, administrators, or administrators to quickly, consistently, and interactively access information from multiple perspectives, this gives you a better understanding of the data. OLAP is designed to meet decision-making support or specific query and report requirements in multi-dimensional environments. Its core technology is the concept of "dimension. Dimen

MySQL and OLAP: exploring the best practices for analytics_mysql

MySQL and OLAP: analyticdb SQL query best practices for multi-dimensional analysis. the rough and fast solution is to use ROLAP (relational OLAP. Data is stored in MySQL after Dimensional Modeling. The ROLAP engine (such as the open-source Mondrian) is responsible for converting OLAP requests into SQL statements and submitting them to the database. The

OLAP learning and instance Building

OLAP learning and instance Building Theoretical preparation: I. OLAP 1. What is OLAP? OLAP (on-lineanalysis processing) is a fast analysis technology that shares multidimensional information. OLAP uses multidimensional database technology to enable users to observe data from

The difference between OLTP and OLAP

Online transaction Processing OLTP (on-line transaction processing) primarily performs basic, daily transaction processing , such as the increase, deletion, modification, and checking of database records . For example, in a bank to access a payment, is a transaction transaction. The features of OLTP typically include:1. High real-time requirements;2. The amount of data is not very large;3. Transactions are generally deterministic, so OLTP is access to definitive data (e.g., deposit and withdrawa

Some basic knowledge of OLAP and OLTP

Oltp:on_line Transaction processing online transaction processing Olap:on_line Analytical processing online Analytical processing OLTP, as its name suggests, focuses on business processes. OLAP is specially designed to support complex analysis operations, focusing on decision support for decision makers and senior managers, it is possible to quickly and flexibly perform complex query processing of large amounts of data, and provide the query results

A review of data warehouse and OLAP Technology

data sources; Time-Varying: data storage provides information from a historical perspective (such as the past 5 to 10 years); Non-Easy: Data Warehouses are physically separated to store data (It only requires two data access operations: data initialization and data access) Data Warehouses support on-line analytical processing, which is different from operating databases.Supported online transaction processing (on-line transaction processing ). Note: distinguish OLTP from

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