Course

UiPath Process Mining SQL Connectors Deep Dive

  • 108 enrolled students
  • June 02, 2022
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UiPath Process Mining SQL Connectors Deep Dive

  • 01:25:00
  • Downloadable resources available
  • Diploma of Completion included
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Course details

Difficulty Level

Advanced

Language

English

Completion time

01:25:00

Product covered

Process Mining

This course is dedicated to any technical audience interested in learning about UiPath Process Mining SQL Connectors, released with the 2022.4 version. This is a deep dive course, where participants will learn, how to setup the development environment for SQL Connectors, and work with them. 

 

Course prerequisites: 

  • To make the most of this course, we recommend you to have foundational knowledge of UiPath Process Mining. If that is not the case, please go back and take the Get Started with UiPath Process Mining and Get Started with UiPath Process Mining Application Templates courses first. 

Product alignment: This course was built using the 2022.4 product version of Process Mining and is applicable to newer versions as well. 

 

Audience: 

Any technical audience interested in knowing about UiPath Process Mining SQL Connector features, released with the 2022.4 version. 

 

Learning objectives 

At the end of this course learners should be able to: 

  • Explain what an SQL Connector is. 
  • Describe what development tools are required for setting up the development environment for SQL Connectors.
  • Understand the structure of a Data Build Tool (DBT) project. 
  • Demonstrate how to setup, run, customize, and release an SQL Connector 
  • Understand how to schedule data extraction, configure app/cache generation. 
  • Analyze the Connector Development Guide. 

 

Agenda: 

  • Introduction to UiPath Process Mining SQL Connectors.
  • Installation of development tools and environment setup. 
  • Structure of a dbt project. 
  • Working with SQL Connectors
  1. Setting up an SQL Connector
  2. Running an SQL Connector 
  3. Customizing an SQL Connector
  4. Releasing an SQL Connector
  • Develop an SQL Connector.