A data model is an abstract model that organizes elements of data and standardizes how they relate to one another. Data models are used to define the logic of the so-called ‘ETL’ process, which stands for Extract, Transform and Load. In Datahive360, a data model consists of 1+ data source(s), data transformation logic to structure the data and 1+ data destination(s). You can create simple data models with just 1 data connector and 1 data destination, without transforming the data, or more complex models with multiple data connectors, data transformation logic and multiple data destinations. All without coding. For popular use cases you can even use our prebuilt data model templates.