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)
1
Section 1: Building Data Pipelines – Extract Transform, and Load
8
Section 2:Deploying Data Pipelines in Production
14
Section 3:Beyond Batch – Building Real-Time Data Pipelines

Building a MiNiFi task in NiFi

In this section, you will build a data pipeline and deploy it to MiNiFi. The data pipeline will generate flow files and send them to NiFi. The next section will take this further and use a processor that is not included with MiNiFi.

To use MiNiFi, you will need an older version of NiFi. The current tool – 0.5.0 – breaks because of changes to properties output from the nifi template. It will be fixed in 0.6.0, but until then, you will need to use at least version 1.9.0 of NiFi. You can get older NiFi versions at https://archive.apache.org/dist/nifi/1.9.0/. Unzip NiFi using the tar command with the -xvzf flags. Place the folder in your home directory using mv or your file explorer tools.

You will also need an older version of Java. To install the correct version of Java, use the following command:

sudo apt-get install openjdk-8-jre

Lastly, you will also need to make sure that NiFi is configured to allow site-to-site connections...