Rivery is much more than aggregating data sources.
You can use our platform to manage your data to ensure your data collection focuses on the metrics that really matter to you. To do this, we enable you to create flows of data which select and combine data points from across your arsenal of data platforms.
To simplify this process, we’ve created our ‘Logic’ section, which is designed to help you build your insights model using our intuitive data transformation and manipulation tools – all using SQL queries.
A ‘logic river’ comprises of logic steps and their sequence. You can add as many logic steps as you want, that will run according to the sequences that you created.
The process is simple. Every logic step comprises of a source and a target.
- Source: where you type a sql query to define the process that you’d like to run.
- Target: select between a target table, a variable or a CSV json file for export.
Firstly, you have to create your variables and select the sql syntax according to the platform you’re using (i.e. Big Query).
Then you will create a container which can be setup to run once or in a loop.Finally, you just need to schedule your river and decide how often you’d like it to run (i.e. hourly, weekly, etc)
That’s it! Your logic river is set.
You can also use a logic river to schedule two or more data source rivers – so you’re not limited to using our logic feature with a single source of data.
This enables you to use data from across your entire arsenal of integrated sources and orchestrate the optimal data flow to ensure you generate the exact insights your business needs, with a logic that matches your business most relevant metrics.