Skip to main content
grasp.study
About
Explore
Pricing
Log in
Try it for free
Back to course
👋
Welcome to a Grasp lesson
Create a free account
to keep studying and create your own study path.
Automate Finance with Python & SQL
·
Module 3
Efficient Data Storage with Parquet
1
Parquet vs. CSV: Columnar Advantages for Analytical Queries
Explain the benefits of Parquet's columnar format for analytical queries compared to CSV.
2
Writing Data to Parquet with DuckDB and Pandas
Write data from a DuckDB query or a pandas DataFrame to a Parquet file.
Loading Parquet Files into DuckDB
Read one or more Parquet files efficiently into DuckDB for analysis.
4
CSV to Parquet: Refactoring a Data Pipeline
Refactor a simple data pipeline that ingests CSVs to store processed data as Parquet.
Previous module
High-Performance Data Processing with DuckDB
Next module
Interactive Data Exploration with DBeaver