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

Chapter 3: Reading and Writing Files

In the previous chapter, we looked at how to install various tools, such as NiFi, Airflow, PostgreSQL, and Elasticsearch. In this chapter, you will be learning how to use these tools. One of the most basic tasks in data engineering is moving data from a text file to a database. In this chapter, you will read data from and write data to several different text-based formats, such as CSV and JSON.

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

  • Reading and writing files in Python
  • Processing files in Airflow
  • NiFi processors for handling files
  • Reading and writing data to databases in Python
  • Databases in Airflow
  • Database processors in NiFi