What is data warehousing and business intelligence?
What is data warehousing and business intelligence?
In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered a core component of business intelligence. DWs are central repositories of integrated data from one or more disparate sources.
Is data warehousing part of business intelligence?
Organizing, storing, cleaning, and extraction of the data must be carried by a central repository system, namely data warehouse, that is considered as the fundamental component of business intelligence.
What is data warehousing in business?
Data warehousing is the secure electronic storage of information by a business or other organization. The warehouse becomes a library of historical data that can be retrieved and analyzed in order to inform decision-making in the business.
What kind of hardware is involved in data warehousing?
A typical data warehouse has four main components: a central database, ETL (extract, transform, load) tools, metadata, and access tools. All of these components are engineered for speed so that you can get results quickly and analyze data on the fly.
What is the importance of data warehousing?
Data warehousing improves the speed and efficiency of accessing different data sets and makes it easier for corporate decision-makers to derive insights that will guide the business and marketing strategies that set them apart from their competitors.
What is data warehousing with example?
Also known as enterprise data warehousing, data warehousing is an electronic method of organizing, analyzing, and reporting information. For example, data warehousing makes data mining possible, which assists businesses in looking for data patterns that can lead to higher sales and profits.
What exactly is business intelligence?
Business intelligence (BI) combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations to make more data-driven decisions.
