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Getting Started with DuckDB

You're reading from   Getting Started with DuckDB A practical guide for accelerating your data science, data analytics, and data engineering workflows

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781803241005
Length 382 pages
Edition 1st Edition
Languages
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Authors (2):
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Ned Letcher Ned Letcher
Author Profile Icon Ned Letcher
Ned Letcher
Simon Aubury Simon Aubury
Author Profile Icon Simon Aubury
Simon Aubury
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Toc

Table of Contents (15) Chapters Close

Preface 1. Chapter 1: An Introduction to DuckDB FREE CHAPTER 2. Chapter 2: Loading Data into DuckDB 3. Chapter 3: Data Manipulation with DuckDB 4. Chapter 4: DuckDB Operations and Performance 5. Chapter 5: DuckDB Extensions 6. Chapter 6: Semi-Structured Data Manipulation 7. Chapter 7: Setting up the DuckDB Python Client 8. Chapter 8: Exploring DuckDB’s Python API 9. Chapter 9: Exploring DuckDB’s R API 10. Chapter 10: Using DuckDB Effectively 11. Chapter 11: Hands-On Exploratory Data Analysis with DuckDB 12. Chapter 12: DuckDB – The Wider Pond 13. Index 14. Other Books You May Enjoy

Summary

This chapter has offered a range of tips for effective DuckDB usage. Here, we shared time-saving shortcuts for querying and adding data to a DuckDB database. We also introduced various approaches to joining tables, including positional and temporal joins, which provide interesting opportunities for analysis with DuckDB. We also learned how to use recursive queries and macros to handle hierarchical data structures.

As you continue your journey with DuckDB, we encourage you to explore further and experiment with the effective features and functionalities enhancements being added to the project.

With our understanding of effective DuckDB usage, we’re in a great position to move on to the next chapter, where we’ll dive into hands-on data analysis.

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