Items related to DuckDB: Up and Running: Fast Data Analytics and Reporting
Synopsis
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
"synopsis" may belong to another edition of this title.
About the Author
Wei-Meng Lee is a technologist and founder of Developer Learning Solutions, a company that provides hands-on training on the latest technologies. He is an established developer and trainer, specializing in data science, blockchain, and mobile technologies. Wei-Meng speaks regularly at international conferences and has authored and co-authored numerous books on topics ranging from blockchain to machine learning. He currently writes a regular column for Medium and Code Magazine, with a focus on making complex technologies easy for beginners to understand.
"About this title" may belong to another edition of this title.
- PublisherO'Reilly Media
- Publication date2025
- ISBN 10 1098159691
- ISBN 13 9781098159696
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages305
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Paperback. Condition: new. Paperback. DuckDB is an open source in-process database created for OLAP workloads. It provides key advantages that separate this database from more mainstream OLAP solutions, including embeddability, compatibility with SQL, optimization for fast and efficient analytics, and integration with Python. This practical book shows you how DuckDB leverages Python libraries and tools for data analytics, machine learning, and AI.Author Wei-Meng Lee shows developers, data engineers, data analysts, and data scientists how to get started. You'll learn the primary features and functions of DuckDB, explore use cases and best practices, and examine practical examples of how DuckDB can be used 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 DuckDB data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL.You'll also explore:The purpose of DuckDB and its main functionsHow to conduct data analytics tasks using DuckDBMethods for integrating DuckDB with pandas, Polars, and JupySQLHow to use DuckDB to query your dataWays to perform spatial analytics using DuckDB's spatial extensionHow to work with a diverse range of data including Parquet, CSV, and JSONWei-Meng Lee is a technologist and founder of Developer Learning Solutions, a company that provides hands-on training on the latest technologies. This practical book explains how DuckDB leverages Python libraries and tools for data analytics, machine learning, and AI. Author Wei-Meng Lee helps developers, data engineers, data analysts, and data scientists get started. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781098159696
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