Data Federation

Data Federation is a fancy way of saying you can see all your different data sets as if they were one big set, without having to actually mix them together. In the world of business intelligence and data analytics, data federation involves taking data from various sources, like different databases or spreadsheets, and providing a unified view of this data. Think of it like being able to look through a bunch of different photo albums at once instead of having to flip through each one individually.

Businesses use data federation because it’s a faster, more flexible way to check out their information. It’s especially useful when they need to pull together data quickly for reports or analysis without the time and effort of combining everything into a single database. This can save a lot of time and resources, making it simpler to gain insights and make decisions based on data from across the entire organization.

Data federation doesn’t move or copy the data permanently; instead, it creates a virtual database that can query all the data sources in real-time and bring back the results as if it was one big dataset. This means businesses can get a comprehensive view of their data landscape, which is super valuable for staying agile and making well-informed decisions.