...
Sprngy uses a model-driven approach for data processing. What we mean by that is that whether it is data profiling or data correlation or even importing the data from RDBMS or writing specific algorithms on the data, all of it can be done by defining models which serve as a blueprint for the processing you want to do. These models defined how you would like your data to behave, what treatment you would like your data to go through, In what sequence you would like your data to be processed and what insights you want your data to serve you .You can define the ETL ingestion without worrying about having to code it. You can define models to clean your data and ensure your users have pristine data to work with, you can define models to arrange your data to mirror specific business uses, you can use models to import from wherever the data is (and you can define transformations while importing the data if you want) and you can write algorithms to provide specific insights on the pristine data.
For advanced users, the models provide customization features that can be implemented using regular SQLquery language. We have built versioning capabilities around the models to provide traceability.
...