With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the …

For the purpose of this book, it’s critical to define what data engineering and data engineer mean. First, let’s look at the landscape of how data engineering is described and develop some …

With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the …

This course introduces learners to the fundamentals of data engineering, and is closely related to material in the book Fundamentals of Data Engineering by Joe Reis and Matt Housley.

Years ago, when I initially entered the world of data analytics, I used to think data was clean – clean in terms of readiness and neatly organized. I was so excited to experiment with machine …

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.

Chapter 1: Fundamentals of Data Engineering Years ago, when I first entered the data science world, I used to think data was clean. Clean in terms of readiness, available in one...

In this chapter, you’ll learn about various ways to serve data for three major use cases you’ll encounter as a data engineer. First, you’ll serve data for analytics and BI.

This book is ideal for data engineers, ETL specialists, and big data professionals seeking to enhance their knowledge in cloud-based solutions. Some familiarity with data engineering, …

You’ve learned about the various source systems you’ll likely encounter as a data engineer and about ways to store data. Let’s now turn our attention to the patterns and choices that apply to …