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

Section 3:Beyond Batch – Building Real-Time Data Pipelines

In this section, you will learn about the differences between batch processing – what you have currently been doing – and stream processing. You will learn about a new set of tools that allow you to stream and process data in real time. First, you will learn how to build an Apache Kafka cluster to stream real-time data. To process this data, you will use an Apache Spark cluster that you will build and deploy. Lastly, you will learn two more advanced NiFi topics – how to stream data to NiFi from an Internet of Things device using MiNiFi, and how to cluster NiFi for more processing power.

This section comprises the following chapters: