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Topic

Parquet

Parquet shows up across 3 courses in 2 layersof the data platform stack. Here's where it's taught, a free way to practice it, and what to learn next.

🔍Inspect a real Parquet file in your browser. Drop any .parquet file (or load the built-in sample) to see the schema, row groups, encodings, compression and column statistics from this topic — 100% client-side. Open the Parquet Viewer →

Where it's taught

◼Storage & File Formats

Parquet, Part 1: Layout, Types, and Encodings

Layout, physical types, encodings, codecs, logical types, and nested schemas: the bytes of a Parquet file from the inside out.

17 ch · 4h 18m

1 free

Parquet, Part 2: Indexing, Encryption, and Engines

Indexing, predicate pushdown, encryption, the Variant type, and engine integrations.

13 ch · 3h 22m

1 free
◈Query Engines & OLAP

DuckDB Hands-On

14 ch · 4h 7m

1 free

Related topics

↗columnar storage↗apache arrow↗bloom filters↗column statistics↗compression codecs↗dictionary encoding↗dremel encoding↗duckdb↗embedded OLAP↗in-process analytics

Start learning parquet free

The first chapter of every course is free to read — no account needed.

Start: Parquet, Part 1: Layout, Types, and Encodings →All strata
Petascale Labs

The physics layer of data

From byte-level storage to business-grade metrics. Built with depth, not breadth.

Curriculum

Data Engineer RoadmapAll strataStorage & File FormatsIngestion & TransportOpen Table FormatsCompute EnginesOrchestration & PipelinesQuery Engines & OLAPSemantic & Metrics LayerPII & Data Governance

Tools

All toolsParquet ViewerFreeSCD PlaygroundFreePII Masking GeneratorFree

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