Cloud Data Basics
Modern data engineering runs on cloud services, and understanding their building blocks is essential to design and cost pipelines.
Learn it
Learn the core cloud data primitives: object storage for raw data, cloud data warehouses (like BigQuery/Snowflake) for analytics, and managed services that run pipelines. Understand the separation of storage and compute that makes ELT economical, and the differences between data lakes, warehouses, and lakehouses.
By the end you’ll be able to
- Explain object storage, cloud warehouses, and managed pipelines
- Distinguish data lake, warehouse, and lakehouse
Free resources
Practice
Complete the Microsoft Learn 'Get started with data engineering on Azure' modules and note how each service maps to ingest/store/transform.
Build it — your output
A one-page reference mapping cloud services to the ingest to store to transform to serve stages.
Prove it — check yourself
You’re ready to move on when you can honestly say yes to each:
- Can you explain why separating storage and compute lowers cost?
- Can you distinguish a data lake from a data warehouse?
- Can you name the cloud service you'd use for each pipeline stage?
Do it with AI
Use a free AI tool as your tutor and pair-programmer. Copy a prompt below into Claude, ChatGPT, or Gemini (for building, try Cursor or Copilot).
The habit: Try it yourself first — a little struggle is where the learning actually happens. Then ask for a hint before the answer — never copy blindly.
- Understand itClaude / ChatGPT / Gemini
I'm a beginner learning "Cloud Data Basics". Explain it in simple terms with a real-world analogy, then ask me ONE question to check my understanding — don't reveal the answer.
- PracticeClaude / ChatGPT / Gemini
Give me 3 short practice problems on "Cloud Data Basics" (my goal: explain object storage, cloud warehouses, and managed pipelines), from easy to hard. Don't include the solutions yet — I'll try them first, then ask you to check.
- Get unstuckClaude / ChatGPT / Gemini
I'm stuck on this exercise about "Cloud Data Basics": [paste your attempt here]. Give me ONE small hint to move forward — do NOT give me the full solution.
- Build & reviewCursor / Copilot
Here is my work for a "Cloud Data Basics" task: [paste your code or answer]. Review it: point out what's wrong and WHY, and suggest improvements — but let me make the fixes myself.
- Prove itClaude / ChatGPT / Gemini
Quiz me on "Cloud Data Basics". Ask me 5 questions one at a time, wait for my answer each time, then tell me if I'm right and briefly why.