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memory and not stored permanently in QPR ProcessAnalyzer. Suitable ODBC driver needs to be installed in QPR ProcessAnalyzer server, and ODBC connection string

filters in the model. Id (Integer) Model Id. Model Id is generated by QPR ProcessAnalyzer when the model is created. LastModifiedBy (User) User who last time

be exported to a .pacm file (QPR ProcessAnalyzer compressed model file) to easily move models between QPR ProcessAnalyzer environments. The file contains

QPR ProcessAnalyzer database has a configuration table PA_Configuration containing settings listed in the tables below. You need SQL Server Management

QPR ProcessAnalyzer expression language is a versatile query engine for all the QPR ProcessAnalyzer data and models. The expression language can perform

SqlDataFrames is processed in the datasource where the data is located, i.e., in Snowflake or SQL Server (not in QPR ProcessAnalyzer Server memory). For

All calculations are performed in the datasource where the data is stored (for example: in QPR ProcessAnalyzer SQL Server database, Snowflake, AWS Redshift

manage all kinds data in QPR ProcessAnalyzer expression engine that run in-memory. As DataFrame is an in-memory object, processing large dataset using DataFrames

data in QPR ProcessAnalyzer persistently. Datatables can contain one-to-many named columns and zero-to-many rows. Datatables are stored to QPR ProcessAnalyzer

Snowflake account and configure QPR ProcessAnalyzer to use the account through an ODBC connection. QPR ProcessAnalyzer needs one Snowflake schema where

located in the ScriptLauncher folder. (Note QPR ProcessAnalyzer 2022.5 and earlier releases use file Qpr.ProcessAnalyzer.ScriptLauncher.exe.config)). To configure

prerequisites need to be fulfilled to run the eventlog prediction: QPR ProcessAnalyzer 2024.2 or later in use Snowflake connection is configured Source models

provide method to store passwords and other confidential data in QPR ProcessAnalyzer, so that they can be used without users being able to see the original

This article describes how to create a process mining model in QPR ProcessAnalyzer from CSV files. Note that data can also be loaded directly from information

This page contains script examples written in the QPR ProcessAnalyzer expression language. See how expression scripts can be created in the Workspace.

QPR ProcessAnalyzer expression language is an object oriented language. This page lists all object types, and properties and functions that they have.

"N/A") + ")"); Starting from QPR ProcessAnalyzer 2023.1, the .NET Desktop Runtime is not needed anymore for QPR ProcessAnalyzer Server, so it can be uninstalled

This same logic also applies for models, that get their data from an ODBC datasource or from a loading script. One method to define the order of events is

"https://www.google.com/search?q=QPR+ProcessAnalyzer" }); resp.StatusCode; Get the server version in a QPR ProcessAnalyzer environment: let resp = CallWebService(#{

installed to machines running QPR ProcessAnalyzer Server and QPR ScriptLauncher. See more on the updating QPR ProcessAnalyzer instructions. Note that the