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🔧 "Which data engineering tools should I actually use for the AWS Challenge?"

Great question! Let's answer it properly with a hands-on comparison session.

### What Rendani Will Demo:

🆓 Free Tools Deep Dive (35 min):

  • VS Code vs Jupyter vs SageMaker Studio Labs
  • Live performance comparisons
  • When to use each tool for different projects

💰 Paid Tools & Enterprise Solutions (20 min):

  • PyCharm Professional vs Community edition
  • Databricks, AWS SageMaker Studio, Tableau
  • ROI analysis: when paid tools make sense

🎯 Decision Framework (5 min):

  • Tool selection matrix for your specific needs
  • Natural progression path from free to enterprise

### You'll leave with:

  • Clear tool recommendations for your AWS challenge project
  • Experience with multiple development environments
  • Decision criteria for future tool selections
Amazon Web Services
Cloud Computing
Serverless Computing
Data Science using Python
Python

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