Articoli correlati a Duckdb: Up and Running: Fast Data Analytics and Reporting
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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
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Duckdb Up and Running : Fast Data Analytics and Reporting
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DuckDB: Up and Running
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Paperback. Condizione: New. 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. Codice articolo LU-9781098159696
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Duckdb Up and Running : Fast Data Analytics and Reporting
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