Asian Journal of Multidimensional Research
  • Year: 2021
  • Volume: 10
  • Issue: 10

An examination of data warehouses

*Shobhit Institute of Engineering and Technology (Deemed to be University), Meerut, Uttar Pradesh, India, Email id: ajay.rana@shobhituniversity.ac.in

**School of Computer Science and Engineering, Faculty of Engineering and Technology, Shobhit Institute of Engineering and Technology (Deemed to be University), Meerut, Uttar Pradesh, India, Email id: rajesh@shobhituniversity.ac.in

Online Published on 03 January, 2022.

Abstract

Data warehousing has become the most essential tool for every industry's decision makers. Essentially, data warehousing is the process of gathering and storing historical data in a single repository, referred to as a data warehouse, and then utilizing that warehouse to provide analytical findings. Being a helping hand for top-level professionals, it is always in the spotlight of the database business, presenting new difficulties on a daily basis. We provide a critical evaluation of data warehousing, as well as various types of topologies and data modeling for data warehouses, in this article. In terms of front end and backend technologies, we discussed some of the current data warehousing tools and methods available. We looked at other difficulties and concerns, as well as some of the study topics in data warehousing.

Keywords

Conceptual Data, Data Warehouse, Data Model Quality Metrics, Online Analytical Processing