What is Data Virtualization?

Data virtualization is a modern data integration technique that creates a virtual layer across multiple data sources, enabling users to access, query, and analyze data in real-time, without moving or duplicating the data.

Instead of relying on traditional ETL (Extract, Transform, Load) processes, which copy and store data into a centralized system, data virtualization provides a unified, logical view of data, abstracting the complexity of different formats, systems, and locations.

Simple Example:

Imagine your data is stored in different cupboards across your house.

Instead of gathering everything into one cupboard, you install a glass door that lets you look into all the cupboards at once.

That’s what data virtualization does, it lets you see and use all your data in one place, without moving it.

Benefits of Data Virtualization

• Saves Time: No waiting for data to be moved or updated.
• Cost-Effective: No extra storage needed, data stays in its original place.
• Improves Flexibility: Easily add or remove data sources as needed.
• Better Decisions: Get real-time insights from all your data.
• Simplifies Access: Teams don’t need to understand where the data is stored or how it’s formatted.