Full Spectrum Comprehensive Testing & Error Reading 101

🚀 Full Spectrum Comprehensive Testing & Error Reading 101 🎓

Solving Tickets for Real-life Job Scenarios in Python, Big Data Science, and More!

Dive into the world of troubleshooting and error reading with our course designed to mirror real-life job scenarios. This course is a treasure trove for developers, engineers, and test specialists who aim to master the art of solving tickets effectively.

🎯 Course Highlights

Ticket Based Learning:

• Engage with a learning experience that closely resembles real-world ticket resolution processes.

Understanding Different Types of Repositories and Runs:

• Learn about the three types of repositories and how they impact your workflow.
• Execute one of the four types of runs to ensure comprehensive coverage of your codebase.

Jenkins & CICD Mastery:

• Gain expertise in checking YAML configurations for Jenkins builds.
• Troubleshoot different kinds of Jenkins failures, including connection timeouts and other common issues.

Full Stack Workflow and Computational UI:

• Understand the nuances between workflow and task-level testing within a full stack computation framework.

PySpark Error Reading:

• Learn to identify and fix PySpark errors efficiently.

Local Python Environment Setup:

• Discover various methods for installing a local virtual environment (venv) in Python to facilitate local testing.

Environment Variable Management on Windows:

• Master the handling of environment variables, including setting up Java Pyspark with Hadoop and local folders.

🔍 Common Ticket Issues & Resolutions

• Jenkins Failure: Yes, it's the most common request we handle.
• Local Failures (PySpark): Commonly due to pyspark issues and fixing errors as tickets.
• Fixing Errors: This is indeed our main ticket type.
• Full Stack Simulation Framework Issues:</straight we deal with the most errors here.

🛠️ Top 5 Causes of Jenkins Failures

1. Timeout issues.
2. Values mismatch in unit tests.
3. Import problems.
4. Connection issues to tables using ODBC.
5. Managing multiple Jenkins builds running in parallel.

🚫 Top 5 Workflow-based Errors

1. Axis Node Name mismatches.
2. Overlooking the integrity test for workflows locally.
3. Hive connection failures.
4. Reusing the same class instance across tests.
5. Not using the latest version of dependent repositories, which can affect frameworks like engine, simulation, and UI.

With this course, you'll gain a deep understanding of the various components that can lead to errors and how to effectively troubleshoot and solve tickets related to Python, Big Data Science, comprehensive testing, and beyond. Enroll now and transform your error-handling and debugging skills for a career in software development, data engineering, or quality assurance!

Instructor: Shivgan Joshici

Course Title: Full Spectrum Comprehensive Testing & Error Reading 101: Solving Tickets for Real-life Job Scenarios for Python, Big Data Science 101

Platform: [Your Learning Platform]

Sign Up Now and Start Your Journey to Mastering Error Resolution and Code Quality Assurance! 🌟