Open AccessImportance of Data Mart for Data Warehouse
Author(s) -
Hoemra N. Halvadi
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-v2-i3-312
Subject(s) - data warehouse , merge (version control) , computer science , pace , software deployment , data virtualization , extant taxon , data science , enterprise data management , profitability index , dimensional modeling , information repository , database , business , information retrieval , computer data storage , cloud computing , enterprise information system , software engineering , geodesy , finance , evolutionary biology , virtualization , biology , geography , operating system
In today’s world there are large amount of significant data to counter highly force races, extends market share and improve profitability. for that they required the information in a such way that can be a subject oriented, combined, non-volatile and time-variant. It a conceptual data for data repository of data for gathering data from various sources and merge by the whole enterprise. The data mart is newly progress area of data Science which is to be used to important deployment of decision support ability with the fire answer on investment need by the pace of extant business. Basically, data mart is coming from the data warehouse to emerged the technology and getting data in faster way which is used to merge to create Data warehouse. In the paper we will take review about design and integration of data marts and various techniques used for merged data mart.