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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

Data Manipulation with DuckDB

This chapter introduces the basics of data manipulation with DuckDB. You will learn how to clean and reshape data using SQL queries and functions and manipulate data from different sources and formats. You will explore how to use aggregate functions, window functions, and common table expressions to perform complex operations on data. By the end of this chapter, you will have a solid grounding in how you can use DuckDB to clean, reshape, and generally wrangle data appropriately for your own analytical workflows.

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

  • Data wrangling
  • Data import and manipulation
  • Altering tables and views
  • Aggregate functions and common table expressions
  • Joining data from multiple tables

The techniques in this chapter will help you make your data more understandable and give you the experience to structure your DuckDB analytic pipelines. Let’s dive in.

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