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You're reading from  Data Engineering with Python

Product typeBook
Published inOct 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781839214189
Edition1st Edition
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Author (1)
Paul Crickard
Paul Crickard
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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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Summary

In this chapter, you learned how to perform basic EDA with an eye toward finding errors or problems within your data. You then learned how to clean your data and fix common data issues. With this set of skills, you built a data pipeline in Apache Airflow.

In the next chapter, you will walk through a project, building a 311 data pipeline and dashboard in Kibana. This project will utilize all of the skills you have acquired up to this point and will introduce a number of new skills – such as building dashboards and making API calls.

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Data Engineering with Python
Published in: Oct 2020Publisher: PacktISBN-13: 9781839214189

Author (1)

author image
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