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Data Engineering with Python

You're reading from  Data Engineering with Python

Product type Book
Published in Oct 2020
Publisher Packt
ISBN-13 9781839214189
Pages 356 pages
Edition 1st Edition
Languages
Author (1):
Paul Crickard Paul Crickard
Profile icon Paul Crickard

Table of Contents (21) Chapters

Preface 1. Section 1: Building Data Pipelines – Extract Transform, and Load
2. Chapter 1: What is Data Engineering? 3. Chapter 2: Building Our Data Engineering Infrastructure 4. Chapter 3: Reading and Writing Files 5. Chapter 4: Working with Databases 6. Chapter 5: Cleaning, Transforming, and Enriching Data 7. Chapter 6: Building a 311 Data Pipeline 8. Section 2:Deploying Data Pipelines in Production
9. Chapter 7: Features of a Production Pipeline 10. Chapter 8: Version Control with the NiFi Registry 11. Chapter 9: Monitoring Data Pipelines 12. Chapter 10: Deploying Data Pipelines 13. Chapter 11: Building a Production Data Pipeline 14. Section 3:Beyond Batch – Building Real-Time Data Pipelines
15. Chapter 12: Building a Kafka Cluster 16. Chapter 13: Streaming Data with Apache Kafka 17. Chapter 14: Data Processing with Apache Spark 18. Chapter 15: Real-Time Edge Data with MiNiFi, Kafka, and Spark 19. Other Books You May Enjoy Appendix

Inserting and extracting relational data in Python

When you hear the word database, you probably picture a relational database – that is, a database made up of tables containing columns and rows with relationships between the tables; for example, a purchase order system that has inventory, purchases, and customer information. Relational databases have been around for over 40 years and come from the relational data model developed by E. F. Codd in the late 1970s. There are several vendors of relational databases – including IBM, Oracle, and Microsoft – but all of these databases use a similar dialect of SQL, which stands for Structured Query Language. In this book, you will work with a popular open source database – PostgreSQL. In the next section, you will learn how to create a database and tables.

Creating a PostgreSQL database and tables

In Chapter 2, Building Our Data Engineering Infrastructure, you created a database in PostgreSQL using pgAdmin...

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