Data mart

About: Data mart is a research topic. Over the lifetime, 559 publications have been published within this topic receiving 8550 citations.

Electronic demography decision making system

Abstract: The article suggests an approach to the development of an electronic demographic decision support system using data warehouse and interactive analytical processing OLAP. This makes it possible to conduct research on demographic processes at a high level and to support decision makers in the field of demography. Due to the presence of many types of demography and a large number of indicators, proposed in the article, a Data Mart Bus Architecture with Linked Dimensional Data Marts is proposed as a Data Warehouse architecture. The article also shows the practical application of this approach using two Data Marts as an example. Based on these Data Marts, OLAP-cubes are built. OLAP operations provide the ability to view cubes in various slices, as well as provide aggregate data. Problems in programming 2020; 2-3: 228-236

Data Mart Development and Dynamic Model Instantiation

Abstract: OLAP can be used for two distinct investigations in decision support applications: 1. Data Exploration and Analysis, and 2. Model Instantiation and Investigation.

The study, design, and implementation of Data mart functions in Windows environments

Abstract: Like other businesses in industry, there is a;need to have a software system to give managers and other deGision­ making executives easy access to up-to-date operating information. This information includes inventory; bookkeeping, and product maintenance activities between central/headguarters and branch stores. The traditional way to prpvide information to those who make critical decisions is to build a centralized data warehouse utilizing various legacy systems. This project intends to explore the feasibility of using a data mart^ structure to expedite the decision-making process and to implement key functions of such a design. This would provide users with critical, timely, and accessible decision-making information. The task of this ; project is to build the communication channel within the enterprise management territory and to provide crucial marketing business intelligence in a timely fashion. The purpose of this project is to develop a Decision Making Database System(Dl^S) that utilizes Object Linking and Embedding(OLE) technologies to simulate how to integrate existing data from many different formats and Ipcatibns into data mart can be regarded as a special kind Of data warehouse in which a summarized, highly focused pprtion of

View-based data mart management system

Abstract: A data analysis platform may be based on database views. A build module may receive, from a source code repository, information about a modified definition of a view. The build module may identify schema objects on which the view depends and form instructions for creating the view and the schema objects. The instructions may be executed to form the updated version of the view in a schema space separate from a production schema space. A deployment pipeline may coordinate replacing the production version of the view with the new version in response to validating the new version of the view.

Handheld operation analysis system

Abstract: The invention discloses a handheld operation analysis system comprising a data storage layer, an enterprise data application portal and a mobile phone client. The system adopts a client-to-server-side architecture, and makes full use of the conventional data application portal function module and EDW/ODS (Enterprise Data Warehouse/Operational Data Store) data, the data are based on an EDW/ODS system, and a special mobile version data mart is established. The invention provides the handheld operation analysis system, and the system is the expansion of the enterprise data application portal on mobile devices, such as a mobile phone and a PDA (Personal Digital Assistant), provides relatively convenient data application access means and further gives play to the value of IT (Information Technology) data on various mobile device terminals.