If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite.
In this updated edition, author Alice Zhao describes how these database management systems implement SQL syntax for both querying and making changes to a database. You'll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more.
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Alice Zhao is a data scientist who is passionate about teaching and making complex things easy to understand. She has taught numerous courses in SQL, Python and R as a senior data scientist at Metis and as a co-founder of Best Fit Analytics. She writes about analytics and pop culture on her blog, A Dash of Data. Her work has been featured in Huffington Post, Thrillist and Working Mother. Alice has also spoken at a variety of data science conferences, including Strata in New York City and ODSC in San Francisco, on topics ranging from natural language processing to data visualization.
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Paperback. Condición: New. If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite.In this updated edition, author Alice Zhao describes how these database management systems implement SQL syntax for both querying and making changes to a database. You'll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more.Quickly look up how to perform specific tasks using SQLApply the book's syntax examples to your own queriesUpdate SQL queries to work in five different database management systemsNEW: Connect Python and R to a relational databaseNEW: Look up frequently asked SQL questions in the "How Do I?" chapter. Nº de ref. del artículo: LU-9781492090403
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