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Data Engineering with Python

You're reading from  Data Engineering with Python

Product type Book
Published in Oct 2020
Publisher Packt
ISBN-13 9781839214189
Pages 356 pages
Edition 1st Edition
Languages
Author (1):
Paul Crickard Paul Crickard
Profile icon Paul Crickard

Table of Contents (21) Chapters

Preface Section 1: Building Data Pipelines – Extract Transform, and Load
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, Transforming, and Enriching Data Chapter 6: Building a 311 Data Pipeline Section 2:Deploying Data Pipelines in Production
Chapter 7: Features of a Production Pipeline Chapter 8: Version Control with the NiFi Registry Chapter 9: Monitoring Data Pipelines Chapter 10: Deploying Data Pipelines Chapter 11: Building a Production Data Pipeline Section 3:Beyond Batch – Building Real-Time Data Pipelines
Chapter 12: Building a Kafka Cluster Chapter 13: Streaming Data with Apache Kafka Chapter 14: Data Processing with Apache Spark Chapter 15: Real-Time Edge Data with MiNiFi, Kafka, and Spark Other Books You May Enjoy Appendix

Building the data pipeline

This data pipeline will be slightly different from the previous pipelines in that we will need to use a trick to start it off. We will have two paths to the same database – one of which we will turn off once it has run the first time, and we will have a processor that connects to itself for the success relationship. The following screenshot shows the completed pipeline:

Figure 6.1 – The complete pipeline

The preceding screenshot may look complicated, but I assure you that it will make sense by the end of this chapter.

Mapping a data type

Before you can build the pipeline, you need to map a field in Elasticsearch so that you get the benefit of the coordinates by mapping them as the geopoint data type. To do that, open Kibana at http://localhost:5601. At the toolbar, select Dev Tools (the wrench icon) and enter the code shown in the left panel of the following screenshot, and then click the run arrow. If it was successful...

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