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

Creating ZooKeeper and Kafka clusters

Most tutorials on running applications that can be distributed often only show how to run a single node and then you are left wondering how you would run this in production. In this section, you will build a three-node ZooKeeper and Kafka cluster. It will run on a single machine. However, I will split each instance into its own folder and each folder simulates a server. The only modification when running on different servers would be to change localhost to the server IP.

The next chapter will go into detail on the topic of Apache Kafka, but for now it is enough to understand that Kafka is a tool for building real-time data streams. Kafka was developed at LinkedIn and is now an Apache project. You can find Kafka on the web at The website is shown in the following screenshot:

Figure 12.1 – Apache Kafka website

Kafka requires another application, ZooKeeper, to manage information about the...