Aubury / Letcher Getting Started with DuckDB

A practical guide for accelerating your data science, data analytics, and data engineering workflows
1. Auflage 2024
ISBN: 978-1-80323-253-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 382 Seiten

No detailed description available for "Getting Started with DuckDB".

Autoren/Hrsg.

Aubury, Simon

Letcher, Ned

Weitere Mitwirkende

Jenkins, Kris

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Datenbankprogrammierung
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - An Introduction to DuckDB
- Loading Data into DuckDB
- Data Manipulation with DuckDB
- DuckDB Operations and Performance
- DuckDB Extensions
- Semi-Structured Data Manipulation
- Setting up the DuckDB Python Client
- Exploring DuckDB's Python API
- Exploring DuckDB's R API
- Using DuckDB Effectively
- Hands-On Exploratory Data Analysis with DuckDB
- DuckDB – The Wider Pond

Über Autor(innen)

Aubury Simon:
Simon Aubury has been working in the IT industry since 2000 as a data engineering specialist. He has an extensive background in building large, flexible, highly available distributed data systems. Simon has delivered critical data systems for finance, transport, healthcare, insurance, and telecommunications clients in Australia, Europe, and Asia Pacific. In 2019, Simon joined Thoughtworks as a principal data engineer and today is associate director of data platforms at Simple Machines in Sydney, Australia. Simon is active in the data community, a regular conference speaker, and the organizer of local and international meetups and data engineering conferences.Letcher Ned:
Ned Letcher has worked as a data science and software engineering consultant since completing his PhD in computational linguistics in 2018 and currently works at Thoughtworks. He has designed and developed data-powered products and services across a range of industries and helped organizations and teams improve the effectiveness of their data processes and workflows. Ned has also worked as a Python trainer, supporting both tertiary students and data professionals across various organizations. He is active in the data community, speaking at and helping organize meetups and conferences, as well as contributing to a range of open source projects.