Data warehousing (DW) is a method of gathering and ANALYSING data from many sources in order to get useful business insights. Typically, a data warehouse is used to integrate and analyse corporate data from many sources. The data warehouse is the heart of the business intelligence (BI) system, which is designed to analyse and report on data.

It is a collection of technology and components that help with data strategy. It refers to a company's electronic storage of a huge volume of data that is intended for inquiry and analysis rather than transaction processing. It is a method of converting data into information and making it AVAILABLE to people in a timely manner so that it can be used to make a difference. It is created by combining data from a variety of disparate sources to provide ANALYTICAL reporting, structured and/or ad hoc queries, and decision-making. Cleaning, integrating, and consolidating data are all part of data warehousing.

The Data Warehouse is kept distinct from the operational database of the company. It is an environment rather than a product. It is an information system's architectural design that gives users access to CURRENT and historical decision-support data that's difficult to find or find in a standard operational data store.

For example, a report on current inventory information may have more than 12 connected conditions. This can cause the query and report to take a long time to respond. A data warehouse introduces a novel design that can help to improve query performance and minimise response time for reporting and analytics.

The following are some alternative names for the data warehouse system:

• Decision Support System (DSS)
• Management Information System
• Executive Information System
• Analytic Application
• Business Intelligence Solution

Now, let’s DIVE deep into the plethora of the most commonly asked Data Warehouse Interview Questions and Answers.