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Design

Migrate a 200TB Data Lake from Parquet to Iceberg

FreeVerified credential4 weeksAdvanced

Overview

What this challenge is about.

Migrate a 200TB data lake from Parquet to Iceberg. Prototype on 80 tables, run validation queries, measure performance. You get a verifiable certificate.

The scenario

The media platform (around USD 240M ARR) has lost 11 engineer-weeks in 6 months to schema-evolution problems on raw Parquet — Iceberg's headlining feature is the business case.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Migrate a 200TB Parquet data lake to Iceberg with no read regression and a runbook the data-platform team can execute table-by-table.

Earning criteria — what you'll demonstrate

  • Choose the right Iceberg catalog for a multi-engine read pattern
  • Design per-table migration strategies for varying scale
  • Validate that schema evolution + time travel work end-to-end
  • Produce a runbook the data platform team can execute table-by-table

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Big Data and Data-Intensive Systems

Master · Databases

Strong alignment

This challenge maps to Big Data and Data-Intensive Systems at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

One more thing

You can put a credential on your CV by Friday.