Parquet
Last updated
What is Parquet?
Parquet is a columnar storage format designed for efficient data storage and retrieval. Unlike row-oriented formats, Parquet stores data by columns, which allows for better compression and faster query performance when only a subset of columns are needed. This makes it particularly well-suited for big data processing and analytics, where large datasets are common and queries often target specific columns.
Free resources to learn Parquet
- Official docsParquet
- ArticleParquet - Databricks
More in stage 14: What is Machine Learning?
Parquet: common questions
Can I learn Parquet in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Parquet in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Parquet tutorial for beginners?
It is lesson 52 of 150 in the free Machine Learning roadmap, in stage 14, What is Machine Learning?. If you are new to Machine Learning, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.