Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python

Author:   Paul Crickard
Publisher:   Packt Publishing Limited
ISBN:  

9781839214189


Pages:   356
Publication Date:   23 October 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
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Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python


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Author:   Paul Crickard
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781839214189


ISBN 10:   183921418
Pages:   356
Publication Date:   23 October 2020
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents What is Data Engineering? Building Our Data Engineering Infrastructure Reading and Writing Files Working with Databases Cleaning, Transforming, and Enriching Data Building a 311 Data Pipeline Features of a Production Pipeline Version Control Using the NiFi Registry Monitoring and Logging Pipelines Deploying Your Pipelines Building a Production Data Pipeline Building a Kafka Cluster Streaming Data with Apache Kafka Data Processing with Apache Spark Real-Time Edge Data with MiNiFi, Kafka, and Spark Appendix

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Author Information

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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