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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
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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

Using DuckDB Effectively

So far, we’ve seen how DuckDB can load, transform, and analyze data from a variety of sources. DuckDB is not only a flexible and extendable database, but it has also been developed with great regard for usability.

The authors and maintainers of the DuckDB project have leveraged significant learnings from mature data management systems and have addressed some of the “paper cuts” and annoyances you may have experienced while using other database systems.

In this chapter, you will learn about time-saving shortcuts that you can use when querying and adding data to a DuckDB database. You will also gain experience with some novel approaches to joining tables – with exercises that involve using positional and temporal joins.

In this chapter, we’re going to cover the following main topics:

  • Selecting columns effectively
  • Applying function chaining
  • Using INSERT effectively
  • Leveraging positional joins and...
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