Duckdb: Up and Running: Fast Data Analytics and Reporting

Lee, Wei-Meng Wei-Meng Lee,

ISBN 10: 1098159691 / ISBN 13: 9781098159696

Editore: O'Reilly Media -, 2025

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Codice articolo 6666-GRD-9781098159696

Dati bibliografici

• Titolo: Duckdb: Up and Running: Fast Data Analytics and Reporting
• Editore: O'Reilly Media -
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 1098159691
• ISBN 13: 9781098159696
• Rilegatura: paperback
• Condizione: New

Descrizione articolo

Riassunto

DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics. It also integrates well with Python and is compatible with SQL, giving you the performance and flexibility of SQL right within your Python environment. This handy guide shows you how to get started with this versatile and powerful tool.

Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data analytics tasks. You'll also dive into specific topics, including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL.

Understand the purpose of DuckDB and its main functions
• Conduct data analytics tasks using DuckDB
• Integrate DuckDB with pandas, Polars, and JupySQL
• Use DuckDB to query your data
• Perform spatial analytics using DuckDB's spatial extension
• Work with a diverse range of data including Parquet, CSV, and JSON