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

Managing the distributed data pipeline

The preceding data pipeline runs on each node. To compensate for that, you had to create the same path on both nodes for the PutFile processor to work. Earlier, you learned that there are several processors that can result in race conditions – trying to read the same file at the same time – which will cause problems. To resolve these issues, you can specify that a processor should only run on the Primary Node – as an isolated process.

In the configuration for the PutFile processor, select the Scheduling tab. In the dropdown for Scheduling Strategy, choose On primary node, as shown in the following screenshot:

Figure 16.6 – Running a processor on the Primary Node only

Now, when you run the data pipeline, the files will only be placed on the Primary Node. You can schedule processors such as GetFile or ExecuteSQL to do the same thing.

To see the load of the data pipeline on each node, you...