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Understanding Databases and DBMS: Your Comprehensive Guide to Data Management

Why I Wanted to Learn This

  • Personal motivation, struggles, or past confusion about the topic
  • Brief overview of what I hoped to understand

What I Set Out to Learn

  • Goals for the weekend
  • Expectations vs what I thought I already knew

What Databases and DBMS Actually Are

  • Clear definitions and differences
  • Use simple analogies and examples
  • Add diagrams or code snippets (where appropriate)

Core Concepts I Covered

Relational vs Non-relational Databases

SQL vs NoSQL

Schema Design and Normalization

Indexing, Keys, and Query Optimization

Transactions and ACID Properties

ERDs and Data Modeling Basics

What I Actually Learned (My Takeaways)

  • Reflect on surprises, misconceptions corrected, or clarity gained
  • Include visuals, charts, and simple code if helpful

Struggles I Faced and How I Overcame Them

  • What confused me
  • Mental models or reframes that helped

Tools and Resources I Used

  • Mention platforms or tools (e.g., Notion, GitHub, SQLite, pgAdmin)
  • Do not include affiliate links

What I’d Do Differently Next Time

  • Learning strategy tweaks
  • Resource swaps or advice to past self

What This Connects To (Next Learning Session Ideas)

  • Topics I’ll cover next (e.g., SQL joins, query performance tuning, MongoDB intro)
  • Link to future or past posts as appropriate

Key Takeaways

  • Bullet points summarizing my most important insights from this weekend

FAQ

What is a DBMS?

What’s the difference between a database and a table?

What is normalization?

What is ACID compliance?

What should I learn after this?