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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 1. Section 1: Building Data Pipelines – Extract Transform, and Load
2. Chapter 1: What is Data Engineering? 3. Chapter 2: Building Our Data Engineering Infrastructure 4. Chapter 3: Reading and Writing Files 5. Chapter 4: Working with Databases 6. Chapter 5: Cleaning, Transforming, and Enriching Data 7. Chapter 6: Building a 311 Data Pipeline 8. Section 2:Deploying Data Pipelines in Production
9. Chapter 7: Features of a Production Pipeline 10. Chapter 8: Version Control with the NiFi Registry 11. Chapter 9: Monitoring Data Pipelines 12. Chapter 10: Deploying Data Pipelines 13. Chapter 11: Building a Production Data Pipeline 14. Section 3:Beyond Batch – Building Real-Time Data Pipelines
15. Chapter 12: Building a Kafka Cluster 16. Chapter 13: Streaming Data with Apache Kafka 17. Chapter 14: Data Processing with Apache Spark 18. Chapter 15: Real-Time Edge Data with MiNiFi, Kafka, and Spark 19. Other Books You May Enjoy Appendix

Setting up MiNiFi

Apache MiNiFi is a lightweight version of NiFi, to be used in data collection at the source. Increasingly, the source has become smaller IoT devices, sensors, and low-powered computers such as the Raspberry Pi. To incorporate these devices into your data pipelines, you need a way to get the data off the device. MiNiFi allows you to stream the data to NiFi as part of a standard data pipeline.

To get the MiNiFi binary, browse to https://nifi.apache.org/minifi/. The following screenshot is of the MiNiFi home page and will provide you with information and documentation for the project:

Figure 15.1 – The Apache MiNiFi home page

From the main navigation bar, go to Downloads and select the Download MiNiFi Components option. You will need to decide whether you want to run the MiNiFi Java or MiNiFi C++ version. Which version is appropriate will depend on the specifications of the device where MiNiFi will live. If you need the smallest footprint...

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