UID:
almahu_9949863066402882
Format:
1 online resource (350 pages)
ISBN:
9781837630028
,
9781837634309
Content:
The amount of data generated continues to grow rapidly, making it increasingly important for businesses to be able to wrangle this data and understand it quickly and efficiently. Although data wrangling can be challenging, with the right tools and techniques you can efficiently handle enormous amounts of unstructured data. The book starts by introducing you to the basics of SQL, focusing on the core principles and techniques of data wrangling. You'll then explore advanced SQL concepts like aggregate functions, window functions, CTEs, and subqueries that are very popular in the business world. The next set of chapters will walk you through different functions within SQL query that cause delays in data transformation and help you figure out the difference between a good query and bad one. You'll also learn how data wrangling and data science go hand in hand. The book is filled with datasets and practical examples to help you understand the concepts thoroughly, along with best practices to guide you at every stage of data wrangling. By the end of this book, you'll be equipped with essential techniques and best practices for data wrangling, and will predominantly learn how to use clean and standardized data models to make informed decisions, helping businesses avoid costly mistakes.
Note:
Data wrangling with SQL : a hands-on guide to manipulating, wrangling, and engineering data using SQL -- Acknowledgements -- Dedication -- Contributors -- Table of Contents -- Preface -- Part 1: Data Wrangling Introduction -- 1: Database Introduction -- 2: Data Profiling and Preparation before Data Wrangling -- Part 2: Data Wrangling Techniques Using SQL -- 3: Data Wrangling on String Data Types -- 4: Data Wrangling on the DATE Data Type -- 5: Handling NULL Values -- 6: Pivoting Data Using SQL -- Part 3: SQL Subqueries, Aggregate And Window Functions -- 7: Subqueries and CTEs -- 8: Aggregate Functions -- 9: SQL Window Functions -- Part 4: Optimizing Query Performance -- 10: Optimizing Query Performance -- Part 5: Data Science And Wrangling -- 11: Descriptive Statistics with SQL -- 12: Time Series with SQL -- 13: Outlier Detection -- Index -- Other Books You May Enjoy.
,
Mode of access: World Wide Web.
Language:
English
Keywords:
Electronic books.
URL:
https://portal.igpublish.com/iglibrary/search/PACKT0007283.html
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