Portfolio Projects/Warehouse Partitioning & Cost Proof
₹99data engineer · Core Skillintermediate · ~8 Hours

Warehouse Partitioning & Cost Proof

Partition and cluster a BigQuery events table in your OWN GCP free-tier sandbox, prove the cost win with measured bytes-scanned numbers before/after, and ship partition maintenance plus a cost handoff note — the Week-8 warehousing theory hardened into a portfolio repo with numbers.

DatabaseBigQuery (own free-tier sandbox)
ToolchainVS Code + SQLTools
Milestones5 Guided Stages
Recruiter OutputVerified GitHub Repo
View 5 Milestones
Full project workspace, live database credentials, AI mentor & verified certificate
Project Deliverables

What You Will Ship to GitHub

Hiring managers don't want to see another cookie-cutter Titanic or Iris tutorial. You will build a professional repository with modular scripts and executive business memos that demonstrate commercial analytical maturity.

github.com/your-username/de-warehouse-partitioning-cost-proofPortfolio Structure
├── sql/
01_exploratory_profiling.sql // Schema audits, table volume, date ranges
02_revenue_trends.sql // Monthly GMV, order volume & AOV evolution
03_customer_concentration.sql // Pareto 80/20 distribution, repeat buyer cohorts
├── findings/
00_executive_summary.md // 3 core business takeaways for executive stakeholders
01_business_health.md // Detailed breakdown of margins, cancellations, and seasonality
03_customer_segments.md // Customer lifetime spend & cohort concentration
├── README.md // Professional project front-door with data schema diagram
Outcomes

What You Will Master

Provision a personal BigQuery sandbox (free tier) with zero shared credentials
Choose partition + cluster keys from real query patterns
Measure bytes-scanned before/after and convert to cost
Ship partition expiration, maintenance, and a monitoring view
Curriculum

5 Guided Project Milestones

M1

BYO sandbox + raw landing

Own BigQuery sandbox live; raw events landed with counts.

~30 mins
M2

Partition + cluster design and DDL

Key choice justified from query patterns; DDL runs clean.

~90 mins
M3

Cost proof: bytes scanned before vs after

Core Milestone

Measured bytes + cost delta on the same queries.

~90 mins
M4

Partition maintenance + monitoring

Expiration, maintenance DDL, and a cost-monitoring view.

~90 mins
M5

README + cost handoff note

Review Pass Required

Portfolio README plus a cost handoff a manager could act on.

~60 mins
Career Value

ATS Keywords & Resume Ready Bullets

Tools
SQLbq CLIGit/GitHub
Methods
Common Table Expressions (CTEs)Window FunctionsTime-Bucket AggregationsCohort AnalysisData Profiling & Auditing
Business Concepts
AOV (Average Order Value)Customer ConcentrationRepeat Purchase BehaviorCohort RetentionRevenue Health Metrics
Pre-Written Resume Bullet (Copy & Paste)

"Authored an end-to-end data analytics project on Warehouse Partitioning & Cost Proof utilizing BigQuery (own free-tier sandbox), SQL, bq CLI — delivered production-grade queries, cohort distributions, and an executive stakeholder summary published as a portfolio GitHub repository."

Preparation

Reading & References

Warehouse project brief: BYO BigQuery sandbox
setup guide · Premium Access
Warehouse starter: DDL + cost-run skeleton
article · Premium Access
Warehouse project rubric
markdown · Premium Access

Ready to build and ship Warehouse Partitioning & Cost Proof?

Instant access to cloud database credentials, milestones, and starter queries.

Project Overview

Free Warehouse Partitioning & Cost Proof portfolio project — with AI review

Build a real warehouse partitioning & cost proof project for your data analyst portfolio in your own public GitHub repo — free brief, starter template, and milestone guides. When your code is ready, the ₹99 pass gets every milestone reviewed against a fixed rubric (de warehouse partitioning cost proof walkthrough included) and issues a verifiable certificate on completion.

Is the Warehouse Partitioning & Cost Proof project free?

The full project brief, milestone guides, and starter template are free to audit. The AI-powered review pass and verified certificate unlock at ₹99.

Can I add the Warehouse Partitioning & Cost Proof project to my resume and GitHub?

Yes — that is the point. You build in your own public GitHub repo, every milestone is reviewed against a fixed rubric, and the certificate links to the repo employers can inspect. Only list what is visible in your repo.

How long does the Warehouse Partitioning & Cost Proof project take?

Most students finish the 5 milestones in 2–4 weekends. Milestones unlock in order, and you can re-submit any milestone that needs work.

Rubric-reviewed · Plagiarism-checked · Verifiable certificate

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