Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Data Wrangling with SQL

You're reading from  Data Wrangling with SQL

Product type Book
Published in Jul 2023
Publisher Packt
ISBN-13 9781837630028
Pages 350 pages
Edition 1st Edition
Languages
Authors (2):
Raghav Kandarpa Raghav Kandarpa
Profile icon Raghav Kandarpa
Shivangi Saxena Shivangi Saxena
Profile icon Shivangi Saxena
View More author details

Table of Contents (21) Chapters

Preface 1. Part 1:Data Wrangling Introduction
2. Chapter 1: Database Introduction 3. Chapter 2: Data Profiling and Preparation before Data Wrangling 4. Part 2:Data Wrangling Techniques Using SQL
5. Chapter 3: Data Wrangling on String Data Types 6. Chapter 4: Data Wrangling on the DATE Data Type 7. Chapter 5: Handling NULL Values 8. Chapter 6: Pivoting Data Using SQL 9. Part 3:SQL Subqueries, Aggregate And Window Functions
10. Chapter 7: Subqueries and CTEs 11. Chapter 8: Aggregate Functions 12. Chapter 9: SQL Window Functions 13. Part 4:Optimizing Query Performance
14. Chapter 10: Optimizing Query Performance 15. Part 5:Data Science And Wrangling
16. Chapter 11: Descriptive Statistics with SQL 17. Chapter 12: Time Series with SQL 18. Chapter 13: Outlier Detection 19. Index 20. Other Books You May Enjoy

Summary

In conclusion, this chapter covered several key foundational aspects of databases. We learned about the basics of databases, including the different types that exist. We explored various database attributes, such as fields, records, tables, databases, relationships, and key fields such as primary keys and foreign keys. Understanding these components is crucial for effectively structuring and organizing data within a database.

Additionally, we discussed the importance of following rules for defining and storing data in tables. Adhering to these rules ensures efficient data manipulation and analysis within the database. Proper data integrity, consistency, and table relationships enable seamless data wrangling and analysis processes.

By grasping these fundamental concepts, we have laid the groundwork for further exploration and understanding of databases and their role in managing and leveraging data effectively.

In the next chapter, we will learn about the prerequisites that should be completed before performing data wrangling. This step is known as data profiling, where we essentially understand and examine the data within the database.

You have been reading a chapter from
Data Wrangling with SQL
Published in: Jul 2023 Publisher: Packt ISBN-13: 9781837630028
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}