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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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Loading CSV files

CSV files are ubiquitous in the world of analytical data, which is why DuckDB comes with a powerful and flexible built-in CSV parser. The appeal of this simple text-based format is that CSV files are easy to inspect, and their tabular format is readily comprehended. While they are straightforward to produce and share, there are, however, often challenges when working with CSV files. Notably, they come in a wide variety of dialects and, often, non-standard variations. For example, despite their name, they sometimes use characters other than commas for delimiting each field—such as tabs, they may or may not have a header row with column names, and there are different approaches to escaping special characters, such as delimiters and quotes. When parsing a CSV file, the specific format of a CSV file can often be inferred but may need to be specified manually. Furthermore, CSV files don’t contain an embedded schema, meaning that conversion from text values...

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Getting Started with DuckDB
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