DATA ENGINEERING TOOLS WORKSHOP
Details
🔧 "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
