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The Data Wrangling Workshop

You're reading from   The Data Wrangling Workshop Create your own actionable insights using data from multiple raw sources

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839215001
Length 576 pages
Edition 2nd Edition
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Authors (3):
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Dr. Tirthajyoti Sarkar Dr. Tirthajyoti Sarkar
Author Profile Icon Dr. Tirthajyoti Sarkar
Dr. Tirthajyoti Sarkar
Shubhadeep Roychowdhury Shubhadeep Roychowdhury
Author Profile Icon Shubhadeep Roychowdhury
Shubhadeep Roychowdhury
Brian Lipp Brian Lipp
Author Profile Icon Brian Lipp
Brian Lipp
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Toc

Table of Contents (11) Chapters Close

Preface
1. Introduction to Data Wrangling with Python 2. Advanced Operations on Built-In Data Structures FREE CHAPTER 3. Introduction to NumPy, Pandas, and Matplotlib 4. A Deep Dive into Data Wrangling with Python 5. Getting Comfortable with Different Kinds of Data Sources 6. Learning the Hidden Secrets of Data Wrangling 7. Advanced Web Scraping and Data Gathering 8. RDBMS and SQL 9. Applications in Business Use Cases and Conclusion of the Course Appendix

Relation Mapping in Databases

We have been working with a single table and altering it, as well as reading back the data. However, the real power of an RDBMS comes from the handling of relationships among different objects (tables). In this section, we are going to create a new table called comments and link it with the user table in a 1: N relationship. This means that one user can have multiple comments. The way we are going to do this is by adding the user table's primary key as a foreign key in the comments table. This will create a 1: N relationship.

When we link two tables, we need to specify to the database engine what should be done if the parent row is deleted, which has many children in the other table. As we can see in the following diagram, we are asking what happens at the place of the question marks when we delete row1 of the user table:

Figure 8.6: Illustration of relations

In a non-RDBMS situation, this situation can quickly become difficult...

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