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Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL 1st edition Raghav Kandarpa

  • SKU: BELL-53569844
Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL 1st edition Raghav Kandarpa
$ 31.00 $ 45.00 (-31%)

4.0

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Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL 1st edition Raghav Kandarpa instant download after payment.

Publisher: Packt Publishing
File Extension: PDF
File size: 6.2 MB
Pages: 351
Author: Raghav Kandarpa, Shivangi Saxena
ISBN: 9781837630028, 183763002X
Language: English
Year: 2023
Edition: 1

Product desciption

Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL 1st edition Raghav Kandarpa by Raghav Kandarpa, Shivangi Saxena 9781837630028, 183763002X instant download after payment.

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.

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