Use case1 : Combining Data

There are broadly two scenarios where you need to combine data 

Scenario 1

Combine data sets by one or more common attributes

How deephouse can help:

Scenario 2

Add together rows from different data sets

Let's say we have a set of IOT devices that collect moisture and temperature measurements every second. The data gets aggregated on a daily basis on a server. You want to now take this daily data and create a larger data set which can be used to make yearly predictions.

How deephouse can help:

• Setup the source data source as input in a workflow

• Schedule the workflow to run after a fixed time interval or at a certain time of the day

• New data will be retrieved and combined with data that was retrieved previously