Shop all O'Reilly Media

Duckdb: Up and Running - by Wei-Meng Lee (Paperback)

Name: Duckdb: Up and Running - by Wei-Meng Lee (Paperback)
Brand: O'Reilly Media
SKU: 92561480
Price: 41.20 USD
Availability: InStock

0 out of 5 stars with 0 reviews

5 Questions

$41.20Save $28.79 (41% off)

In Stock

Free & easy returns

Return this item by mail or in store within 90 days for a full refund.

Eligible for registries and wish lists

Save 5% every day

With Target Circle™ Card

About this item

Details

Highlights

DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics.
Author(s): Wei-Meng Lee
305 Pages
Computers + Internet,

Description

About the Book

"DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics. It also integrates well with Python and is compatible with SQL, giving you the performance and flexibility of SQL right within your Python environment. This handy guide shows you how to get started with this versatile and powerful tool. Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data analytics tasks. You'll also dive into specific topics, including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL. Understand the purpose of DuckDB and its main functions; Conduct data analytics tasks using DuckDB; Integrate DuckDB with pandas, Polars, and JupySQL; Use DuckDB to query your data; Perform spatial analytics using DuckDB's spatial extension; Work with a diverse range of data including Parquet, CSV, and JSON."--

Book Synopsis

DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics. It also integrates well with Python and is compatible with SQL, giving you the performance and flexibility of SQL right within your Python environment. This handy guide shows you how to get started with this versatile and powerful tool.

Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data analytics tasks. You'll also dive into specific topics, including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL.

Conduct data analytics tasks using DuckDB
Integrate DuckDB with pandas, Polars, and JupySQL
Use DuckDB to query your data
Perform spatial analytics using DuckDB's spatial extension
Work with a diverse range of data including Parquet, CSV, and JSON

Specifications

Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W) x .65 Inches (D)

Weight: 1.09 Pounds

Suggested Age: 22 Years and Up

Number of Pages: 305

Genre: Computers + Internet

Publisher: O'Reilly Media

Theme: Data Warehousing

Format: Paperback

Author: Wei-Meng Lee

Language: English

Street Date: January 21, 2025

TCIN: 92561480

UPC: 9781098159696

Item Number (DPCI): 247-39-4407

Origin: Made in the USA or Imported

If the item details aren’t accurate or complete, we want to know about it.

Shipping & Returns

Shipping details

Estimated ship dimensions: 0.65 inches length x 7 inches width x 9.19 inches height

Estimated ship weight: 1.09 pounds

We regret that this item cannot be shipped to PO Boxes.

This item cannot be shipped to the following locations: American Samoa (see also separate entry under AS), Guam (see also separate entry under GU), Northern Mariana Islands, Puerto Rico (see also separate entry under PR), United States Minor Outlying Islands, Virgin Islands, U.S., APO/FPO, Alaska, Hawaii

Return details

This item can be returned to any Target store or Target.com.

This item must be returned within 90 days of the date it was purchased in store, delivered to the guest, delivered by a Shipt shopper, or picked up by the guest.

See the return policy for complete information.

Q&A (5)

Q: What is the primary focus of DuckDB?

AI Shopping Assistant - today

A: DuckDB is designed for OLAP workloads, providing optimized performance for analytics tasks.
submitted byAI Shopping Assistant - today
Ai generated

Q: Who is the author of this book?

AI Shopping Assistant - today

A: The book is authored by Wei-Meng Lee, who guides readers through DuckDB's features and best practices.
submitted byAI Shopping Assistant - today
Ai generated

Q: How does DuckDB integrate with Python?

AI Shopping Assistant - today

A: DuckDB integrates seamlessly with Python, allowing users to leverage SQL capabilities within their Python environment.
submitted byAI Shopping Assistant - today
Ai generated

Q: What types of data can be used with DuckDB?

AI Shopping Assistant - today

A: DuckDB supports various data formats, including Parquet, CSV, and JSON, for versatile data handling.
submitted byAI Shopping Assistant - today
Ai generated

Q: What topics are covered in the book?

AI Shopping Assistant - today

A: The book covers importing data, working with tables, exploratory data analysis, and spatial analysis using DuckDB.
submitted byAI Shopping Assistant - today
Ai generated

See all questions (5)