The Quantile Evaluator on the Syntasa platform calculates cumulative performance metrics by score percentile and date.
Process Configuration
There are three screens that need to be configured for this process type: General, Input, and Output. Below are the details of each screen, including descriptions of the fields. Access the editor by clicking on the Quantile Evaluator node.
General
Process Name - Please give the process a descriptive name, preferably starting with a verb.
Process Version - Please choose the process version from the dropdown menu.
Input
This section provides the information platform needs to understand the source path of the files and details of the files that need to be ingested.
Input Selection - Select the valid details from the dropdown menu
Output
This section provides the ability to name the output tables and how the output process should be labeled on the app graph.
Datasets
- Table Name - defines the name of the database table where the output data will be written. Please ensure that the table name is unique to all other tables within the defined Event Store, otherwise, data previously written by another process will get overwritten.
- Display Name - The label of the process output icon displayed on the app graph canvas.
Configurations
- Partition Scheme: used to partition the data (i.e. daily or hourly). In most cases, this is set to daily
- File Format: format of the files stored, Parquet is used in most cases
- Load To BQ: Please note that this option is only applicable to Google Cloud Platform deployments. The acronym "BQ" stands for Big Query, and selecting this option provides the ability to create a Big Query table. If you are using AWS, you will have the option to Load to RedShift instead. If your installation is on-premise, data is usually written to HDFS, and the Load To option will not be displayed.
- Location - Storage bucket or HDFS location where source raw files will be stored for Syntasa Event Enrich process to use