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  • SQL Cookbook: Query Solutions and Techniques for All SQL Users

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SQL Cookbook: Query Solutions and Techniques for All SQL Users

4.6 out of 5 stars (242)

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You may know SQL basics, but are you taking advantage of its expressive power? This second edition applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this updated cookbook provides a framework to help you construct solutions and executable examples in several flavors of SQL, including Oracle, DB2, SQL Server, MySQL, and PostgreSQL.

SQL programmers, analysts, data scientists, database administrators, and even relatively casual SQL users will find SQL Cookbook to be a valuable problem-solving guide for everyday issues. No other resource offers recipes in this unique format to help you tackle nagging day-to-day conundrums with SQL.

The second edition includes:

  • Fully revised recipes that recognize the greater adoption of window functions in SQL implementations
  • Additional recipes that reflect the widespread adoption of common table expressions (CTEs) for more readable, easier-to-implement solutions
  • New recipes to make SQL more useful for people who aren't database experts, including data scientists
  • Expanded solutions for working with numbers and strings
  • Up-to-date SQL recipes throughout the book to guide you through the basics

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From the Publisher

SQL cookbook

From the Preface

SQL is the lingua franca of the data professional. At the same time, it doesn’t always get the attention it deserves compared to the hot tool du jour. As result, it’s common to find people who use SQL frequently but rarely or never go beyond the simplest queries, often enough because they believe that’s all there is.

This book shows how much SQL can do, expanding users’ tool boxes. By the end of the book you will have seen how SQL can be used for statistical analysis; to do reporting in a manner similar to Business Intelligence tools; to match text data; to perform sophisticated analysis on date data; and much more.

Who This Book Is For

This book is meant to be for any SQL user who wants to take their queries further. In terms of ability, it’s meant for someone who knows at least some SQL—you might have read Alan Beaulieu’s Learning SQL, for example—and ideally you’ve had to write queries on data in the wild to answer a real-life problem.

Other than those loose parameters, this is a book for all SQL users, including data engineers, data scientists, data visualization folk, BI people, etc. Some of these users may never or rarely access databases directly, but use their data visualization, BI, or statistical tool to query and fetch data. The emphasis is on practical queries that can solve real-world problems.

Where a small amount of theory appears, it’s there to directly support the practical elements.

What’s Missing from This Book

This is a practical book, chiefly about using SQL to understand data. It doesn’t cover theoretical aspects of databases, database design, or the theory behind SQL except where needed to explain specific recipes or techniques.

It also doesn’t cover extensions to databases to handle data types such as XML and JSON. There are other resources available for those specialist topics.

Editorial Reviews

About the Author

Anthony Molinaro is a data scientist at Johnson & Johnson. In his current role he is a manager in the Observational Health Data Analytics group within Janssen R&D. His primary areas of research are nonparametric methods, time series analysis, and large scale database characterization and transformation. He is a member of the open science OHDSI community. Anthony holds a BA in Mathematics and an MA in Applied Mathematics & Statistics from CUNY Hunter College. He resides in NY with his wife, Georgia, and his two daughters, Kiki and Connie.

Robert de Graaf graduated as an Engineer, and worked in the Manufacturing industry after completing studies. While working as an Engineer, Robert discovered the power of statistics for solving real world problems, and completed a Master’s in Statistics in time to benefit from the Data Science boom. He has worked for RightShip as their Senior Data Scientist since 2013, and is the author of Managing Your Data Science Projects.

Product details

  • Publisher ‏ : ‎ O'Reilly Media
  • Publication date ‏ : ‎ December 8, 2020
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 567 pages
  • ISBN-10 ‏ : ‎ 1492077445
  • ISBN-13 ‏ : ‎ 978-1492077442
  • Item Weight ‏ : ‎ 2.05 pounds
  • Dimensions ‏ : ‎ 7 x 1.25 x 9 inches
  • Best Sellers Rank: #123,127 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.6 out of 5 stars (242)

About the authors

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