Lee Wei-Meng DuckDB Up and Running Fast Data Analytics and Reporting 2025

Lee Wei-Meng DuckDB Up and Running Fast Data Analytics and Reporting 2025

General:

Name: Lee Wei-Meng DuckDB Up and Running Fast Data Analytics and Reporting 2025
Format: pdf
Size: 19.15 MB

Book:

Title: DuckDB: Up and Running (for True Epub)
Author: Wei-Meng Lee
Language: polski
Year: 2024
Subjects: Computers, Database Management, Data Warehousing & Mining
Publisher: O’Reilly Media, Incorporated
ISBN: 9781098159658
Total pages: 580

Description:

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

Download from RapidGator
https://rapidgator.net/file/ba24f212c625e801cff411d0259f9519/2l7ae5as3u81998hmfjjo8.pdf

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