June 2022
Beginner to intermediate
366 pages
7h 57m
English
Overview
Dive into 'Data Engineering with Alteryx' to master the principles of DataOps while learning to build robust data pipelines using Alteryx. This book guides you through key practices to enhance data pipeline reliability, efficiency, and accessibility, making it an essential resource for modern data professionals.
What this Book will help me do
- Understand and implement DataOps practices within Alteryx workflows.
- Design and develop data pipelines with Alteryx Designer for efficient data processing.
- Learn to manage and publish pipelines using Alteryx Server and Alteryx Connect.
- Gain advanced skills in Alteryx for handling spatial analytics and machine learning.
- Master techniques to monitor, secure, and optimize data workflows and access.
Author(s)
Paul Houghton is an experienced data engineer and author specializing in data engineering and DataOps. With extensive experience using Alteryx tools and workflows, Paul has a passion for teaching and sharing his knowledge through clear and practical guidance. His hands-on approach ensures readers successfully navigate and apply technical concepts to real-world projects.
Who is it for?
This book is ideal for data engineers, data scientists, and data analysts aiming to build reliable data pipelines with Alteryx. You do not need prior experience with Alteryx, but familiarity with data workflows will enhance your learning experience. If you're focused on aligning with DataOps methodologies, this book is tailored for you.
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