A data warehouse is a central repository for storing data from multiple sources. It is designed to support business intelligence (BI) and data analysis activities.

Data warehouses are used by organizations of all sizes to make better decisions. For example, a retailer might use a data warehouse to track sales trends and identify popular products. A healthcare provider might use a data warehouse to analyze patient data and improve the quality of care.

Data warehouses can be complex to design and implement. Careful and systematic planning can help in creating a operationally successful end product.

Some of tools that we use to build various types of datawarehouses include Amazon Redshift, Google BigQuery, Snowflake, Microsoft Azure Synapse Analytics Informatica PowerCenter, Talend Studio, Integrate.io and others.