What is a Data Source?

The building blocks of data organization are datasets. Each dataset can pull and unify data from multiple data sources. Each dataset resides in a destination.
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In simple terms, Qluster's connector reaches out to your data source, receives data from it, and writes it to your dataset at your destination. 

A data source answers the following basic questions:

Data Source vs. DataSet vs. Destination

There can be multiple data sources for each data set. However, typically each data source corresponds to a specific type of data from a particular data vendor.

For example, a marketplace company can have an "inventory" dataset. This dataset lives in a specific database instance. In Qluster terms, the database instance is called a destination.

The marketplace company is pulling inventory data from multiple stores. Each store has its way of providing inventory data to the marketplace company.

For Example:
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In this case, the inventory dataset has three data sources, one for each vendor. Each data source can have its own "rules".

For example, vendor 1 calls a column "brand". Vendor 2 calls the same column "manufacturer". Once the data is in the dataset, we want to have a "brand" column showing data from both vendors.