What is Data Warehouse (DWH)? Why Should Corporate Companies Choose DWH Architecture?

## What is Data Warehouse (DWH)? In the age of digital transformation, organizations generate huge amounts of data every second. **Data Warehouse (DWH)** is a big data platform that collects raw data from different operational systems of organizations (ERP, CRM, APIs, etc.), cleans and transforms it with a structured **ETL (Extract, Transform, Load)** process and stores it at a central point for analysis. ### Traditional Databases vs. Data Warehouse Operational databases (OLTP) are designed to record daily transactions as quickly as possible. However, operational systems are inadequate when management needs to perform retrospective analysis (OLAP) on millions of transactions. This is where **DWH architecture** comes into play and pulls the main analytical load behind reporting systems. ### Advantages of a Data Warehouse for Your Company: 1. **Single Source of Truth**: All departments read clean data taken from different sources but drawn to the same standards. The sales number and the Finance number are now the same. 2. **High Reporting Performance**: It returns instant results when queries are made over millions or even billions of rows. Dashboards (Power BI screens) open at lightning speed. 3. **Historical Tracking (SCD Type 2)**: Comparing the customer's address 5 years ago with today's address with the situation at the time of orderingIt allows a (Slowly Changing Dimensions). ### DVision Technology and Microto ETL In corporate data warehouse construction, we prepare your infrastructure in minutes, not weeks, with local and very powerful products such as **Microto ETL Studio**. Investing directly in DWH infrastructure is the most critical cornerstone of your artificial intelligence and Big Data projects.