You're reading from Data Engineering with Python

Product typeBook

Published inOct 2020

Reading LevelBeginner

PublisherPackt

ISBN-139781839214189

Edition1st Edition

Languages

Python

Concepts

Data Analysis

Author (1)

Paul Crickard

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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Data Engineering with Python

Published in: Oct 2020Publisher: PacktISBN-13: 9781839214189

Author (1)

Paul Crickard

Paul Crickard authored a book on the Leaflet JavaScript module. He has been programming for over 15 years and has focused on GIS and geospatial programming for 7 years. He spent 3 years working as a planner at an architecture firm, where he combined GIS with Building Information Modeling (BIM) and CAD. Currently, he is the CIO at the 2nd Judicial District Attorney's Office in New Mexico.
Read more about Paul Crickard

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You're reading from Data Engineering with Python

Inserting and extracting relational data in Python

Creating a PostgreSQL database and tables

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