Fetch’s beginnings are deeply rooted in education. Our founders were faculty members at the University of Southern California when they first developed Fetch’s groundbreaking technology. And to this day, education is core to who we are and how we serve our clients. Our team develops and delivers trainings that are built to suit your needs. We offer technology skills assessments to better understand what your onsite needs are going to be and offer seminars that are tailored for you. Our comprehensive training seminars can be delivered at your site or online via interactive Web conferencing.
Training Curriculum
1 Introduction to Fetch Live Access (2 days)
Concepts and skills covered in this course include:
- Fetch Live Access overview
- Introduction to Agent Builder and construction of basic agents, or connections, to navigate and extract data from websites
- Introduction to Data Transformer for data normalization
- Introduction to Feed Builder, which combines agents and applicable transformations
- Introduction to Agent Runner for the execution of agents and feeds
- Basic troubleshooting and QA techniques for agents and feeds and extracted output
2 Intermediate Agent Building (3 days)
Concepts and skills covered in this course include:
- Analyzing moderately complex HTTP requests and modeling these requests in an agent
- Implementing filters and agent parameters to limit scrapes to specific sub-sets of the results available on the website
- Using the group data schema structure
- Using Transformer to build transformations that normalize the output
- Writing to the database or output XML files the date and time that the execution occurred
- Using Feed Builder to build feeds that read a series of inputs from database, and de-duplicate the data
Prerequisite: Introduction to Fetch Live Access
3 Application Administrator (1 day)
Concepts and skills covered in this course include:
- Starting and stopping the Fetch server-based applications
- Setting up and managing the repository file share
- Designing and scheduling Data Monitor reports
- Setting Monitor alerts
- Locating and interpreting Data Monitor execution error information
- Defining and scheduling job groups with Scheduler
4 Normalization Concepts (2 days)
Concepts and skills covered in this course include:
- Introduction to the structure and content of Agent Runner default XML output
- Transforming the content and structure of individual elements and lists of elements
- Implementing conditional logic in Data Transformer
- Implications for agent data schema design
- Principles of modularization and effective technical documentation
Prerequisite: Introductory Feed Building
Recommended Prerequisites: Intermediate Agent Building and 40 hours agent building experience
