Tutorials System Design Tutorial
Enterprise Data Platform Design — Complete Guide
Enterprise Data Platform Design — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of System Design Tutorial on Toolliyo Academy.
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System Design Tutorial · Lesson 30 of 100
Enterprise Data Platform Design
Basics → Scale → Interview
Basics · 1 — Building blocks · ~6 min · Module 3: Database Systems
What is this?
A data platform separates OLTP from analytics — warehouses/lakes, pipelines, quality checks, and governed access.
Why should you care?
Analysts must not run huge scans on ShopNest checkout databases.
See it live — copy this example
Sketch the architecture on paper. These lessons focus on concepts and trade-offs.
OLTP (Orders) → CDC/Events → Lake/Warehouse → BI
↘ Feature store (optional)
Contracts: order_placed schema versioned
PII: tokenized before lakeRun Example »
This lesson uses terminal or setup steps. Run commands on your computer — the live editor appears on coding lessons.
What happened?
- CDC or events feed analytics without locking OLTP.
- Schemas and PII rules keep the platform trustworthy.
Practice next
- Draw OLTP → pipeline → warehouse for ShopNest.
- Pick CDC or domain events as the source.
- Mask PII before analysts query.
- Add a daily data quality check on order counts.
- Publish a data catalog entry for Orders.
Remember
Split OLTP and analytics. Pipeline with contracts. Govern PII access.
ShopNest warehouse
Nightly CDC lands orders in BigQuery/Snowflake-style warehouse.
Outcome: Finance dashboards never touch checkout primary.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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