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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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Summary

In this chapter, we learned about DuckDB operations and performance. We explored the features and techniques that can help optimize the speed of DuckDB. We used indexes to accelerate queries and explored effective ways to manage and examine file operations on Parquet data files.

We also explored timestamps, seeing how DuckDB represents points in time internally and how it bins them into structured timestamps, as well as the usage of time zone information. We also looked at how window functions can be used to effectively process time series data.

Our next chapter introduces some powerful extensions that are available in DuckDB and how they can be used to extend DuckDB's capabilities across a range of specialized applications.

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Getting Started with DuckDB
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