{"product_id":"duckdb-up-and-running-fast-data-analytics-and-reporting-paperback","title":"Duckdb: Up and Running: Fast Data Analytics and Reporting - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eWei-Meng Lee\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDuckDB, 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.\u003cbr\u003e \u003cbr\u003e \u003c\/p\u003e\u003cp\u003eAuthor 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. \u003c\/p\u003e\u003cul\u003eUnderstand the purpose of DuckDB and its main functions \u003cli\u003eConduct data analytics tasks using DuckDB \u003c\/li\u003e\n\u003cli\u003eIntegrate DuckDB with pandas, Polars, and JupySQL \u003c\/li\u003e\n\u003cli\u003eUse DuckDB to query your data \u003c\/li\u003e\n\u003cli\u003ePerform spatial analytics using DuckDB's spatial extension \u003c\/li\u003e\n\u003cli\u003eWork with a diverse range of data including Parquet, CSV, and JSON\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 305\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.65 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 21, 2025\u003c\/div\u003e\n            \u003c\/li\u003e\n\u003c\/ul\u003e","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213614334201,"sku":"9781098159696","price":75.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/tHoPCmFA8-9781098159696.webp?v=1768108848","url":"https:\/\/bookscloud.io\/products\/duckdb-up-and-running-fast-data-analytics-and-reporting-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}