Book Image

Data Engineering with Python

By : Paul Crickard
Book Image

Data Engineering with Python

By: Paul Crickard

Overview of this book

Data engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.
Table of Contents (21 chapters)
Section 1: Building Data Pipelines – Extract Transform, and Load
Section 2:Deploying Data Pipelines in Production
Section 3:Beyond Batch – Building Real-Time Data Pipelines

Chapter 15: Real-Time Edge Data with MiNiFi, Kafka, and Spark

In this chapter, you will learn how Internet-of-Things (IoT) devices, small computers, and sensors can send data into a data pipeline using Apache NiFi. For computers or devices with little processing power, MiNiFi allows them to be part of a NiFi data pipeline. MiNiFi is a lightweight version of NiFi with a stripped-down set of processors and no graphical user interface. It is built to send data using a data pipeline built into NiFi and deployed to the device.

In this chapter, we're going to cover the following main topics:

  • Setting up MiNiFi on a device
  • Building and deploying a MiNiFi task in NiFi