stands for "online analytical processing", a type of application that attempts to facilitate multidimensional (i.e., data that has been aggregated into various categories or "dimensions") analysis. That is, OLAP should help a user synthesize enterprise information through comparative, personalized viewing as well as through analysis of historical and projected data. View records related to this term
On-Line Analytical Processing, originally introduced in 1994 in a paper by E. F. Codd, is a decision support counterpart to On-Line Transaction Processing. OLAP allows users to derive information and business intelligence from Data Warehouse systems by providing tools for querying and analyzing the information in the Warehouse. IN particular, OLAP allows multidimensional views and analysis of the data for decision support processes.
A group of technologies and applications that collect, manage, process, and present multidimensional data for analysis and management purposes. To be effective,...
On-Line Analytic Processing
ine nalytical rocessing - Access to consolidated data that can be viewed from multiple dimensions and multiple users regardless of the complexity of the query.
The analysis of data, performed interactively and accessed from a multidimensional database. OLAP enables users to gather complex data from various sources, then 'slice and dice' the information for strategic analysis and decision-making.
Computer-based management of analysis data that enables users to easily and selectively extract and analyze data from a variety of aspects. OLAP enables multidimensional analysis and a breakdown of aggregated information.
Online Analytical Processing. A multi-dimensional database used for decision support analysis and data warehousing.
Stands for "Online Analytical Processing." OLAP allows users to analyze ...
OLAP (online analytical processing) enables a user to easily and selectively extract and view data from different points-of-view.
On Line Analytical Processing. An OLAP request vs OLTP request applies complex transformation rules on voluminous amount of data. OLAP tools may have different database architectures (Relational OLAP, Multi-dimensionnal OLAP,...) for storing information. As well OLAP access may be performed through different types of data architecture distribution (E.g. centralised OLAP database or distributed OLAP databases).
On-Line Analytical Processing. A category of applications and technologies for collecting, managing, processing and presenting multidimensional data for analysis and management purposes.
On-Line Analytical Processing. OLAP should be designed to provide end users a quick way of slicing and dicing the data.
OLAP stands for Online Analytical Processing, and refers to analyzing database information to aid decision-making. The data is normally stored in a data warehouse, and often involves tools that allow for multi-dimensional analysis and aggregation for faster execution time.
OnLine Analytical Processing. Computer processing that helps a user easily and selectively extract and view data from different points-of-view.
See: online analytical processing (OLAP).
Online analytic processing; the sophisticated manipulation of data for analytic purposes, often using data organized into cube structures.
On Line Analytical Processing. A Software technology that transforms data into multidimensional views and supports multidimensional data interaction, exploration, and analysis. SAS is an example of OLAP.
A category of business intelligence tools used to analyze data. OLAP tools are client- and server-based analysis tools that originally were based on multidimensional databases — databases constructed specifically to support the analysis of quantitative data, along multiple dimensions — but today can be based on relational databases, most often overlaid by an indexing or mapping scheme that emulates an MDDB. OLAP technology enables users to organize and view the data in a hierarchical manner. Most OLAP applications involve a time dimension, so that data can be analyzed over time to uncover trends. See business intelligence.
OnLine Analytical Processing - A database capable of handling queries more complex than those handled by standard relational databases, through the ability to view data by different criteria, intensive calculation capability, and specialized indexing techniques.
Online Analytical Processing. A technology that uses multidimensional structures to provide rapid access to data for analysis. The source data for OLAP is commonly stored in data warehouses in a relational database.
Analysis of data along various dimensions (such as time periods, sales areas, and distributors) so as to obtain summary information as well as very specific targeted information to predict business performance based on various parameters.
An acronym for On Line Analytical Processing.
On Line Analytical Processing. A common use of a data warehouse that involves real time access and analysis of multidimensional data such as order information.
Online analytical processing. A way of analysing the information collected by a computer so as to answer questions such as ”how many widgets did we sell last year by month and region”. OLAP involves fast analysis (delivering answers in a matter of seconds, not hours) of shared multidimensional information (which means that several people can ask questions at the same time without affecting each other). The term “multidimensional” means that you can move beyond simple flat tables: a request for a list of customers with outstanding accounts is a 2-dimensional question; a request for the total of the outstanding accounts for different customer types arranged by month for the last 5 years is a multidimensional question. Visit the OLAP Report website for more information.
Literally, On-Line Analytical Processing. Designates a category of applications and technologies that allow the collection, storage, manipulation and reproduction of multidimensional data, with the goal of analysis. Another definition is contained in the acronym FASMI (Fast Analysis of Shared Multidimensional Information). OLAP tools have to follow 12 rules, described on this page.
The process of manipulating large chunks of data in response to analytical queries by end users. OLAP data is organized by dimensions (e.g., time, products, geographies, measures, scenarios, etc.) that include hierarchies that support drilling down from higher levels to more detailed views. OLAP gives analysts, managers and executive insight into data through fast, consistent, interactive access to a wide variety of possible information views.
Describes the systems used not for application delivery, but for analyzing the business, e.g., sales forecasting, market trends analysis, etc. These systems are also more conducive to heuristic reporting and often involves multidimensional data analysis capabilities.
OLAP (On-Line Analytical Processing) is a multi-dimensional database or data structure that contains summary data. These databases are ideal for answering management's ad hoc queries.
On-line Analytical Processing (multidimensional analysis of application data performed interactively
On-Line Analytical Processing. Data volume has grown so large that nobody taking decisions would peruse individual data. Management needs to derive trends, watch an historical perspective, play with what-if cases, etc. For producing those aggregate reports, db engines need crunching power and enough resources to read many MBs almost as it if were a batch process, but returning a result to the interactive client in an acceptable time.
In general, OLAP refers to the tools and software used for extracting data from databases and analyzing multidimensional cubes.
Online Analytical Processing OSS On-line Service System that helps in users to get fast and effective help from SAP. The user may log-in to OSS system to find a possible solution for a 'bug'. Get the patch ,if any, download and apply to correct the problem.
On-Line Analytical Processing. Usually synonymous with MOLAP (multi-dimensional OLAP). OLAP engines facilitate the exploration of data along several (predetermined) dimensions. OLAP commonly uses intermediate data structures to store pre-calculated results on multidimensional data, allowing fast computations. ROLAP (relational OLAP) refers to performing OLAP using relational databases.
An acronym for "online analytical processing." OLAP describes a type of software that analyzes and manipulates multidimensional data from a variety of data sources. PureShare applications help organizations to streamline and centralize the retrieval and reporting of OLAP-based data.
On-line analytical processing. Refers to array-oriented database applications that allow users to view, navigate through, manipulate, and analyze multidimensional databases.
Online Analytical Processing, a category of software tools that provides analysis of data stored in a database. OLAP tools enable users to analyze different dimensions of multidimensional data. For example, it provides time series and trend analysis views. The chief component of OLAP is the OLAP server, which sits between a client and a database management systems (DBMS). The OLAP server understands how data is organized in the database and has special functions analyzing the data.
On-Line Analytical Processing - in the Business Intelligence world signifies a 'live' report or graphic that can be drilled down on.
(online analytical processing) A technology that uses multidimensional structures to provide rapid access to data for analysis. OLAP data sets for Project Server are stored in SQL Server tables and managed with Project Web Access and SQL Server Analysis Services. See also: cube
On-Line Analytical Processing tools give the user the capability to perform multi-dimensional analysis of the data.
On-Line Analytical Processing: A category of database software which provides an interface such that users can transform or limit raw data according to user-defined or pre-defined functions, and quickly and interactively examine the results in various dimensions of the data. OLAP primarily involves aggregating large amounts of diverse data.
OLAP stands for On Line Analytical Processing. It is an approach to quickly provide the answer to analytical queries that are dimensional in nature. It is part of the broader category business intelligence, which also includes Extract transform load (ETL), relational reporting and data mining.