Encoding Types
Concepts covered: paCompression
What They Want to Hear 'Parquet applies encoding per column before compression. Dictionary encoding maps repeated values to small integers, so a column of 1 million country codes becomes 1 million tiny integers plus a 200-entry dictionary. RLE (run-length encoding) stores repeated consecutive values as (value, count). Delta encoding stores differences between sequential values, perfect for timestamps.' The key insight: encoding converts data into a more compressible form BEFORE the compression algorithm runs.
About This Interactive Section
This section is part of the Where Data Lives: Intermediate lesson on DataDriven, a free data engineering interview prep platform. Each section includes explanations, worked examples, and hands-on code challenges that execute in real time. SQL queries run against a live PostgreSQL database. Python runs in a sandboxed Docker container. Data modeling problems validate against interactive schema canvases. All content is framed around what data engineering interviewers actually test at companies like Meta, Google, Amazon, Netflix, Stripe, and Databricks.
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