DATA ENGINEERING TOOLS WORKSHOP

Hosted By
Tinotenda M.

Details
π§ "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:
π 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
π° Paid Tools & Enterprise Solutions (20 min):
- PyCharm Professional vs Community edition
- Databricks, AWS SageMaker Studio, Tableau
- ROI analysis: when paid tools make sense
π― 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

Mzansi AWS
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DATA ENGINEERING TOOLS WORKSHOP