Description

Introduction

This workshop offers a hands-on introduction to Onyx, a flexible and powerful framework designed for large-scale data processing and workflow management. Participants will learn the basics of Onyx, including setup, core concepts, and foundational skills to build efficient workflows. By the end of the workshop, attendees will have a solid understanding of how to navigate Onyx and apply it to simple data-driven applications.

Prerequisites

To participate in this workshop, attendees should have:

• Basic programming knowledge (Python or Java preferred).
• A general understanding of data processing concepts.
• Access to a computer with internet connectivity.
• A setup environment with Onyx installed or instructions on setup, which will be provided during the workshop.

Table of Contents

1. Introduction to Onyx and Its Capabilities
   1.1 Overview of Onyx’s Framework and Purpose
   1.2 Use Cases for Onyx in Data Processing
   1.3 Key Advantages of Using Onyx for Workflow Management
2. Setting Up Your Onyx Environment
   2.1 Installation Guide for Onyx(Ref: Scala for Backend Development)
   2.2 Configuring Your Workspace for Onyx
   2.3 Basic Troubleshooting Tips
3. Understanding Onyx Architecture and Core Components
   3.1 Nodes, Edges, and Jobs: The Basics
   3.2 Workflow Structure and Configuration
   3.3 How Onyx Manages Data Processing
4. Creating Your First Onyx Workflow
   4.1 Defining Simple Data Processing Tasks
   4.2 Setting Up Nodes and Connecting Edges
   4.3 Executing and Monitoring Workflows
5. Working with Data in Onyx
   5.1 Importing and Loading Data Sources
   5.2 Data Transformation Techniques
   5.3 Handling Common Data Processing Scenarios
6. Introduction to Advanced Features
   6.1 Using Plugins and Extensions
   6.2 Customizing Workflow Parameters
   6.3 Basic Performance Optimization Tips
7. Best Practices for New Onyx Developers
   7.1 Structuring Workflows for Readability
   7.2 Testing and Debugging Workflows
   7.3 Documenting Your Workflows for Future Development
8. Hands-On Exercises and Group Projects
   8.1 Building a Data Processing Workflow
   8.2 Collaborative Project on Data Transformation
   8.3 Peer Review and Discussion
9. Q&A and Troubleshooting Common Issues
   9.1 Frequently Asked Questions for Beginners
   9.2 Addressing Common Setup and Execution Challenges
   9.3 Open Q&A for Custom Queries
10. Conclusion and Next Steps
    10.1 Recap of Workshop Key Takeaways
    10.2 Resources for Continued Learning in Onyx
    10.3 Encouragement to Explore Onyx for Advanced Applications

Conclusion

This introductory workshop on Onyx equips participants with the essential skills to start building data workflows and applications. With a foundational understanding of Onyx’s setup, structure, and key features, attendees are well-prepared to explore the platform further and advance their data processing capabilities. Following the workshop, participants are encouraged to continue their journey with additional resources and experiment with Onyx for a range of data-driven projects.

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Reference