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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 JSON files

JSON is a popular and open file format for storing and exchanging data and has good integration with many programming languages, libraries, and data systems. A JSON object is written inside curly braces and can contain multiple name-value pairs. A name-value pair consists of an attribute name in double quotes, followed by a colon, followed by a value. JSON values can include strings, numbers, and Boolean data types, as well as nested objects and array data types, which are represented as comma-separated sequences of values, wrapped with square braces. Here’s an example of a simple JSON object:

{"food_name":"Hawaiian Pizza", "quantity":6}

DuckDB can read JSON files with the read_json function in a variety of formats. In the wild, you may encounter a range of different types of JSON files, with records represented using different conventions. Two common flavors of JSON data that you may encounter in the wild are newline-delimited...

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Getting Started with DuckDB
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