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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 DuckDB’s R API

In this chapter, we’ll be taking a close look at another DuckDB client API; this time for the R programming language. R is a programming language that’s designed for statistical computing and graphically representing data. It is used by many scientists and data practitioners, including data scientists, statisticians, and data analysts. It’s well-suited for performing data analysis, statistical modeling, and data visualization, as well as developing statistical software. DuckDB provides a feature-rich package for working with DuckDB databases in R: https://r.duckdb.org.

R benefits from a rich array of built-in data processing features and a rich ecosystem of data libraries. Experienced R users may wonder why they might want to add another R package to their toolbox. DuckDB enables you to scale your analytical data workflows further – you can run complex analytical operations efficiently and process much larger datasets than...

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Getting Started with DuckDB
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