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

Section 1: Building Data Pipelines – Extract Transform, and Load

This section will introduce you to the basics of data engineering. In this section, you will learn what data engineering is and how it relates to other similar fields, such as data science. You will cover the basics of working with files and databases in Python and using Apache NiFi. Once you are comfortable with moving data, you will be introduced to the skills required to clean and transform data. The section culminates with the building of a data pipeline to extract 311 data from SeeClickFix, transform it, and load it into another database. Lastly, you will learn the basics of building dashboards with Kibana to visualize the data you have loaded into your database.

This section comprises the following chapters:

Chapter 1, What is Data Engineering?
Chapter 2, Building Our Data Engineering Infrastructure
Chapter 3, Reading and Writing Files
Chapter 4, Working with Databases
Chapter 5, Cleaning and Transforming Data
Chapter 6, Building a 311 Data Pipeline

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Data Engineering with Python

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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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