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  • Book Overview & Buying Getting Started with DuckDB
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Getting Started with DuckDB

Getting Started with DuckDB

By : Simon Aubury, Ned Letcher
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Getting Started with DuckDB

Getting Started with DuckDB

5 (1)
By: Simon Aubury, Ned Letcher

Overview of this book

DuckDB is a fast in-process analytical database. Getting Started with DuckDB offers a practical overview of its usage. You'll learn to load, transform, and query various data formats, including CSV, JSON, and Parquet. The book covers DuckDB's optimizations, SQL enhancements, and extensions for specialized applications. Working with examples in SQL, Python, and R, you'll explore analyzing public datasets and discover tools enhancing DuckDB workflows. This guide suits both experienced and new data practitioners, quickly equipping you to apply DuckDB's capabilities in analytical projects. You'll gain proficiency in using DuckDB for diverse tasks, enabling effective integration into your data workflows.
Table of Contents (15 chapters)
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Exploring public datasets

Public datasets are collections of data that are made available to the public by various sources, such as governments, organizations, and researchers. Public datasets can be useful for analyzing trends and patterns in different domains, such as health, education, environment, or social impact.

DuckDB is a powerful tool for exploring, understanding, and gaining insights from public datasets. In this section, we’ll work with a public dataset that has been made available in CSV format. We’ll use DuckDB to load it in an appropriate form, summarize it, and export it to another format. This worked example will allow us to showcase some of DuckDB’s versatile features that make it well suited for analytical workflows.

Bike-share station readings

We are going to be exploring the Melbourne Bike Share dataset, which provides historical data from the Melbourne Bike Share service, which operated from 2010 to 2019, and is made available by...

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Getting Started with DuckDB
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