Data Engineering
COURSERA COURSE
Build your skills as a data engineer, drive organisational goals by ingesting, transforming, storing, and serving data to data stakeholders, and grow your career in a high-demand field
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Enroll for the Data Engineering Professional Certificate on the Coursera website
CREATED BY
Joe Reis
Best-Selling Author | Data Engineer and Architect | Recovering Data Scientist ™ | Global Keynote Speaker | Professor | Podcaster & Writer
Author of Fundamentals of Data Engineering
Joe Reis is a “recovering data scientist” and a business-minded data nerd who’s worked in the data industry for 20 years, with responsibilities ranging from statistical modeling, forecasting, machine learning, data engineering, data architecture, and almost everything else in between.
He co-hosts the popular data show, The Monday Morning Data Chat, teaches at the University of Utah, speaks globally, and co-authored the wildly successful O’Reilly book, Fundamentals of Data Engineering.
When he’s not busy running a company, teaching, or creating content, Joe often finds himself rock climbing or trail running in the mountains around Salt Lake City, Utah.
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Enroll for the Data Engineering Professional Certificate on the Coursera website
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. 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 framework of the data engineering lifecycle.
Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You’ll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.
This book will help you:
- Get a concise overview of the entire data engineering landscape
- Assess data engineering problems using an end-to-end framework of best practices
- Cut through marketing hype when choosing data technologies, architecture, and processes
- Use the data engineering lifecycle to design and build a robust architecture
- Incorporate data governance and security across the data engineering lifecycle
Enroll Now
Enroll for the Data Engineering Professional Certificate on the Coursera website
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