Data WorkflowsLike to import, transform or load data into your environment without having to deal with transformation tools? Or extraction tools. And without having to check the quality and compliance of the data? Looking for an IT environment that’s both rapid and scalable, whether you’re handling CSV and Excel files or processing terabytes of streaming data?
With ForePaaS ETL, it’s simple to extract, transform and load your data into your automated storage environment. Use tasks and standard functions in the ForePaaS store; get transformation tasks using algorithms developed by others; or develop your own using the Python SDK.
ETL from ForePaaS is entirely written in Python and makes it easy to integrate your existing scripts and libraries. It also allows for horizontal scalability, whether you’re handling hundreds of data records or hundreds of millions. The standard libraries let you focus on your needs, while data integration and processing is extremely fast and reliable.
You can apply a transformation or algorithm to your data using custom actions developed with or without the Python SDK supplied by ForePaaS.
If you’ve developed algorithms in data science studios, you can import and execute these models in ForePaaS and then go live with them. This means you keep ownership of your algorithm and you’ll be the only one benefiting from it.
ForePaaS possesses a built-in data studio with pre-loaded packages for data science, non real-time statistical analysis and visualization. Once satisfied, users can immediately train their algorithm on their data and incorporate their code in the production environment of the application.
Use existing models from industry standard frameworks or use your own work from the Data Studio to publish models in production. Manage training procedure, feature engineering, predictions and scoring of models easer as an independent service or integrate in your ETL process.