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

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 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...