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

Summary

In this chapter, you learned how to process CSV and JSON files using Python. Using this new skill, you have created a data pipeline in Apache Airflow by creating a Python function to process a CSV and transform it into JSON. You should now have a basic understanding of the Airflow GUI and how to run DAGs. You also learned how to build data pipelines in Apache NiFi using processors. The process for building more advanced data pipelines is the same, and you will learn the skills needed to accomplish this throughout the rest of this book.

In the next chapter, you will learn how to use Python, Airflow, and NiFi to read and write data to databases. You will learn how to use PostgreSQL and Elasticsearch. Using both will expose you to standard relational databases that can be queried using SQL and NoSQL databases that allow you to store documents and use their own query languages.

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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.
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