Analyze and transform data efficiently with DuckDB, a versatile, modern, in-process SQL database Key Features Use DuckDB to rapidly load, transform, and query data across a range of sources and formats Gain practical experience using SQL, Python, and R to effectively analyze data Learn how open source tools and cloud services in the broader data ecosystem complement DuckDB’s versatile capabilities Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDuckDB 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.What you will learn Understand the properties and applications of a columnar in-process database Use SQL to load, transform, and query a range of data formats Discover DuckDB's rich extensions and learn how to apply them Use nested data types to model semi-structured data and extract and model JSON data Integrate DuckDB into your Python and R analytical workflows Effectively leverage DuckDB's convenient SQL enhancements Explore the wider ecosystem and pathways for building DuckDB-powered data applications Who this book is for If you’re 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.
John Lewis Benson, born in Crawford County, Pennsylvania, was an 8th generation descendant of John Benson, who arrived in America at Plymouth Colony on 11 April 1638 on the ship "Confidence." After being reared in Chautauqua County, New York, John Lewis Benson's father, William, took him to Rock Island County, Illinois, following his daughters who had already made the migration. Shortly after reaching his majority, John Lewis Benson went to "Bleeding Kansas" as part of the wave of Abolitionists who sought to "keep Kansas free," which action reflected the devout Puritan Calvinism of his Benson forebears. He enlisted in the 5th Kansas Volunteer Cavalry two months after the first canon was fired on Fort Sumter, and served until the end of the War of Rebellion, being mustered out on 22 June 1865. He then returned to Kansas where he prospered, married, and fathered 5 children. He lost all his worldly possessions due to drought and the economic collapse following The Panic of 1873, and then moved about Kansas seeking a new start. During this difficult period, his wife died, leaving him a widower with 4 children ages 6 to 11. He soon married a divorcee who brought her 3 children, ages 1 to 3, to the marriage. In his second marriage, John Lewis fathered three more children. After the Unassigned Lands of Oklahoma Territory were opened for settlement in 1899, John Lewis and his blended family moved there and share-cropped 40 acres southeast of Guthrie, Oklahoma, which he eventually bought. He died on this farm on 23 March 1906. This book by one of his great-grandsons tells the story of his life, the lives of his five sisters and one brother, and their ancestry back to 16th century Oxfordshire, England.
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