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Data Warehousing Write for Us
Data Warehousing is also called the enterprise warehouse, a system that can be used for data analysis and reporting and is the main component of business intelligence. It is a data structure that has one or more sources of data. They store lots of data in a single data that can be used for storing workers’ data. It is important for the company that can hold the data separately, so it will be easy to analyze and make decisions related to the data.
The data stored in the warehousing can upload from the operating systems. This data can be passed from the operational data and needs the necessary cleansing to ensure the data quality before it is reported in the data warehousing to withdraw, transform, cargo, and withdraw, cargo, transform are the two main things that can be used to build a data warehousing system.
Data warehousing is very beneficial in organizations as it causes an easy analysis with a large amount of data, extracts its main value, and keeps data stored. Data warehouse is
Subject-oriented: it can analyze the data as an individual subject
Integrated: it creates consistency by various data types from different sources
Nonvolatile: the data in the warehouse will be the same as it does not change
Time variant: it analyzes the data changes every time
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Guidelines- Data Warehousing Write for Us
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Search related terms
The terms associated with this topic are below:
- Data analysis
- Business intelligence
- Operational systems
- Data cleansing
- Data quality