ENGLISH

DuckDB: Up and Running: Fast Data Analytics and Reporting

By Wei-Meng Lee

Book information

Publisher
O’Reilly Media
Year
2025
ISBN
1098159691, 9781098159696
ASIN
B0DPNMF2ZX
Language
english
Format
PDF
Filesize
25 MB (26701015 bytes)
Edition
1
Pages
305\308
Topic
Computers Databases
Orientation
portrait
Paginated
yes
Scanned
no
Time added
2024-12-17 23:32:38
Databases; Python; SQL; Relational Databases; JSON

Description

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

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