Workshops and Training Courses

1-Day Introductory Training: Structr Basics

In this course you will learn how to install, setup and use Structr and build a simple web application.

  • General
    • Short introduction to graph databases and Neo4j
    • Overview of Structr's technical components (REST server, admin backend GUI etc.)
    • Installation, configuration, starting, stopping a Structr instance and making backups
    • Create a simple custom data model
    • Create and manage users and groups
    • How to manage data in the backend GUI
  • Content Management
    • Create folder structures
    • Up- and Download files and images
    • Image manipulation
    • Enable full-text search and OCR in images
    • Configure custom metadata
    • Manage folder and file permissions
  • Develop Web Applications
    • Create and edit pages
    • Widgets and shared components
    • Create lists and tables by using repeater elements
    • Handling of request parameters
    • Output formatting and simple scripting
    • Simple schema methods
    • Localization/create multi-language content
Target Audience:
  • Content Authors
  • Web Designers
  • Web Developers
  • Data Modelers
  • DBAs
  • Business Analysts and everyone else

Skills taught: An understanding of the product Structr, the underlying concepts and technology, how it works, how to use Structr to create a simple domain model, a RESTful backend service and a simple web application.

Prerequisites: You don’t need any previous experience with Structr, Neo4j, or specific developer skills, but a basic knowledge of HTML, CSS and Javascript would help.

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2-Day Advanced Training: Develop Sophisticated Graph-based Apps

This course is based on the 1-day intro training and will teach you how to become a proficient user of Structr. In the hands-on section, you'll be creating a real-world web application with a custom data model and learn how to use the advanced features of Structr.

  • General
    • Deployment and Export/Import of Structr apps
    • How to use a shared source code repository
    • Maintenance commands
    • Use existing Neo4j databases
    • Use the interactive console
  • Data Modeling
    • Create your own custom data model
    • Type inheritance
    • Advanced attribute types
    • Function and Cypher attributes
    • Schema methods
  • Scripting
    • Built-in functions
    • Server-side JavaScript
    • Other scripting languages
    • Create your own widgets
  • Data Import/Export
    • Import CSV data
    • Export to JSON, XML, CSV
    • Use the REST API to manage data
    • Connect other apps and map data by using Virtual Types
    • Specify scheduled tasks (cron jobs)
Target Audience:
  • Skilled Content Authors
  • (Web) Developers
  • Data Modelers

Skills taught: An deeper understanding of Structr, its advanced features and how to build sophisticated, interactive web applications.

Prerequisites: Previous experience with Structr and Neo4j is required (we recommend the Structr Basics course), as well experience in web development and data modeling.

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Neo4j Fundamentals

This course helps build a good knowledge of graph databases. It also teaches the core functionality of the Neo4j graph database. With a mixture of theory and hands-on practice sessions, you will quickly learn how easy it is to work with a powerful graph database using Cypher as the query language

Audience: Developers, Administrators, DevOps engineers, DBAs, Business Analysts and students, but also executives and others who want an overview of the Neo4j technology.

Skills taught: An understanding of graph databases, how to use graph databases, introduction to data modeling with Graph databases, how to get started working with Neo4j, build confidence in building a graph enabled application

Prerequisites: You don’t need any previous experience with Neo4j, NoSQL databases or specific development languages.

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Graph Data Modeling with Neo4j

This course teaches how to design and implement a graph data model and associated queries. With a mixture of instruction and hands-on practice sessions, you’ll learn how to apply the property graph model to solve common modeling problems. You’ll also learn how to evolve an existing graph in a controlled manner to support new or changed requirements.

Audience: Developers, DBAs, Business Analysts and students.

Skills taught: An understanding of the labeled property graph, how to apply the property graph to common modeling problems, common graph structures for modeling complex, connected scenarios, criteria for choosing between different modeling options, how to modify an existing model to accommodate new requirements

Prerequisites: You will need some familiarity with Neo4j, and the Cypher language in particular. The material from the Intro to Neo4j course is sufficient knowledge to understand this course.

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