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Ned Letcher
Getting Started with DuckDB
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4965961Getting Started with DuckDBhttps://www.gandhi.com.mx/getting-started-with-duckdb-9781803232539/phttps://gandhi.vtexassets.com/arquivos/ids/4517628/image.jpg?v=638524509651930000813903MXNPackt PublishingInStock/Ebooks/4704576Getting Started with DuckDB813903https://www.gandhi.com.mx/getting-started-with-duckdb-9781803232539/phttps://gandhi.vtexassets.com/arquivos/ids/4517628/image.jpg?v=638524509651930000InStockMXN99999DIEbook20249781803232539_W3siaWQiOiJmNjBkMjhmZC04ZGI5LTQ4MmMtODQ4OC00NDJmOGRlNzg2YWIiLCJsaXN0UHJpY2UiOjkwMywiZGlzY291bnQiOjkwLCJzZWxsaW5nUHJpY2UiOjgxMywiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjQtMDctMTdUMTU6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9781803232539_<p><b>Analyze and transform data efficiently with DuckDB, a versatile, modern, in-process SQL database</b></p><h2>Key Features</h2><ul><li>Use DuckDB to rapidly load, transform, and query data across a range of sources and formats</li><li>Gain practical experience using SQL, Python, and R to effectively analyze data</li><li>Learn how open source tools and cloud services in the broader data ecosystem complement DuckDBs versatile capabilities</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h2>Book Description</h2>DuckDB is a fast in-process analytical database. Its ease of use, versatile feature set, and powerful analytical capabilities make DuckDB a valuable addition to the data practitioners toolkit. Getting Started with DuckDB offers a practical overview of DuckDBs fundamentals and guidance for effectively using its powerful capabilities. Through extensive hands-on examples, youll learn how to use DuckDB to load, transform, and query a variety of data sources and formats, including CSV, JSON, and Parquet files, semi-structured data, remotely-hosted files, and external databases. Youll also find out how to leverage DuckDBs performance optimizations and friendly SQL enhancements. Youll explore how to use DuckDBs extensions for specialized applications, such as geospatial analysis and text search over document collections. In addition to working through examples in SQL, Python, and R, youll also dive into using DuckDB for analyzing public datasets and discover the wider ecosystem of open-source tools and cloud services that supercharge DuckDB-powered workflows and applications. Whether youre a seasoned data practitioner or new to working with analytical data, this book will rapidly get you up to speed with DuckDBs versatile and powerful capabilities, enabling you to apply them in your analytical workflows and projects.<h2>What you will learn</h2><ul><li>Understand the properties and applications of a columnar in-process database</li><li>Use SQL to load, transform, and query a range of data formats</li><li>Discover DuckDBs rich extensions and learn how to apply them</li><li>Use nested data types to model semi-structured data and extract and model JSON data</li><li>Integrate DuckDB into your Python and R analytical workflows</li><li>Effectively leverage DuckDBs convenient SQL enhancements</li><li>Explore the wider ecosystem and pathways for building DuckDB-powered data applications</li></ul><h2>Who this book is for</h2><p>If youre interested in expanding your analytical toolkit, this book is for you. It will be particularly valuable for data analysts wanting to rapidly explore and query complex data, data and software engineers looking for a lean and versatile data processing tool, along with data scientists needing a scalable data manipulation library that integrates seamlessly with Python and R. You will get the most from this book if you have some familiarity with SQL and foundational database concepts, as well as exposure to a programming language such as Python or R.</p>...9781803232539_Packt Publishinglibro_electonico_9781803232539_9781803232539Ned LetcherInglésMéxico2024-06-24T00:00:00+00:00https://getbook.kobo.com/koboid-prod-public/packt-epub-cd6ebb75-875a-4f1a-a0c6-1644a1068d20.epub2024-06-24T00:00:00+00:00Packt Publishing