Book Image

Data Wrangling with SQL

By : Raghav Kandarpa, Shivangi Saxena
Book Image

Data Wrangling with SQL

By: Raghav Kandarpa, Shivangi Saxena

Overview of this book

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.
Table of Contents (21 chapters)
Part 1:Data Wrangling Introduction
Part 2:Data Wrangling Techniques Using SQL
Part 3:SQL Subqueries, Aggregate And Window Functions
Part 4:Optimizing Query Performance
Part 5:Data Science And Wrangling


About the GCP Professional Cloud Security Engineer Exam

The rate of migration to the cloud is growing exponentially. The cloud is something of a Masai Mara right now, and we don’t expect that this will slow down. New projects are often now born in the cloud and end up staying there.


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