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

Testing the Kafka cluster

Kafka comes with scripts to allow you to perform some basic functions from the command line. To test the cluster, you can create a topic, create a producer, send some messages, and then create a consumer to read them. If the consumer can read them, your cluster is running.

To create a topic, run the following command from your kafka_1 directory:

bin/ --create --zookeeper localhost:2181,localhost:2182,localhost:2183 --replication-factor 2 --partitions 1 --topic dataengineering

The preceding command runs the kafka-topics script with the create flag. It then specifies the ZooKeeper cluster IP addresses and the topic. If the topic was created, the terminal will have printed the following line:

created topic dataengineering

You can verify this by listing all the topics in the Kafka cluster using the same script, but with the list flag:

bin/ –list --zookeeper localhost:2181,localhost:2182,localhost:2183