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

Building data pipelines with Kafka and NiFi

To build a data pipeline with Apache Kafka, you will need to create a producer since we do not have any production Kafka clusters to connect to. With the producer running, you can read the data like any other file or database.

The Kafka producer

The Kafka producer will take advantage of the production data pipeline from Chapter 11, Project — Building a Production Data Pipeline. The producer data pipeline will do little more than send the data to the Kafka topic. The following screenshot shows the completed producer data pipeline:

Figure 13.7 – The NiFi data pipeline

To create the data pipeline, perform the following steps:

  1. Open a terminal. You need to create the topic before you can send messages to it in NiFi. Enter the following command:
    bin/ --create --bootstrap-server localhost:9092 --replication-factor 1 --partitions 3 --topic users

    The preceding command is slightly different...