olap meaning

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 memory database engine specifically designed for mixed OLTP a

The distribution of data in multidimensional space is always sparse and uneven. At the location where the event occurs, the data is aggregated and the density is large. Therefore, developers of OLAP systems should try to solve the problem of data sparsity and data aggregation in multidimensional data space. In fact, there are many ways to construct multidimensional data. 1. Super cubic structure A hypercube structure (hypercube) refers to a three-di

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

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

Converts OLTP data to provide acceptable performance in the OLAP system, which requires a series of operations. Merge data First, we must be able to process all relevant information of a specific project (products, customers, employees) from multiple OLTP (on-line transaction processing, online transactions) the system is merged into an OLAP (Online Analytical Processing, Online Analytical Processing

Some practical tips for using OLAP functions The online analytical Processing,olap function is very flexible and powerful. By using these functions, you can find a simple solution for some problems that are either to iterate over one or more cursors, or to be recursive. In some other cases, it is much easier to use OLAP functions or auxiliary tables than to not

Introduction RANET. uilibrary. OLAP is an open-source Silverlight project used to display server-side OLAP data on a browser client. It contains many controls (such as MDX designer and pivot grid) to conveniently display and operate OLAP data sources on the client. Official site Http://ranetuilibraryolap.codeplex.com/ Http://code.google.com/p/ranet-uilibrary-

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

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

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

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