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Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows

Język publikacji: angielskim
Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows Simon Aubury, Ned Letcher, Kris Jenkins - okladka książki

Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows Simon Aubury, Ned Letcher, Kris Jenkins - okladka książki

Serie wydawnicze:
Hands-on
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
382
Dostępne formaty:
     PDF
     ePub

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DuckDB is a fast in-process analytical database. Getting Started with DuckDB offers a practical overview of its usage. You'll learn to load, transform, and query various data formats, including CSV, JSON, and Parquet. The book covers DuckDB's optimizations, SQL enhancements, and extensions for specialized applications. Working with examples in SQL, Python, and R, you'll explore analyzing public datasets and discover tools enhancing DuckDB workflows. This guide suits both experienced and new data practitioners, quickly equipping you to apply DuckDB's capabilities in analytical projects. You'll gain proficiency in using DuckDB for diverse tasks, enabling effective integration into your data workflows.

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O autorach książki

Simon Aubury is a data engineering specialist, with an extensive background in building large, flexible, highly-available distributed data systems. He 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.
Ned Letcher is a data science specialist who has worked across a range of industries, designing and building data-powered products and tools. He has helped many individuals and teams apply best practices to data workflows, having worked as a Python trainer in enterprise and tertiary education. Ned works at ThoughtWorks as a lead data science engineer.

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