Skip to main content
Books, videos, and music - all free from your public library!
LoginSign Up

Footer

Hoopla logo, Go to homepage
  • For Patrons
  • For Libraries (opens in new window)
  • For Vendors (opens in new window)
  • Facebook (opens in new window)
  • X (opens in new window)
  • Instagram (opens in new window)
  • YouTube (opens in new window)
  • TikTok (opens in new window)
  • LinkedIn (opens in new window)

Our Company

  • Our Story
  • Get Hoopla for your Library (opens in new window)
  • Get your content on hoopla (opens in new window)
  • Join our team (opens in new window)
  • Accessibility Statement

Our Content

  • Audiobooks
  • Ebooks
  • Movies
  • Television
  • Comics
  • BingePasses
  • Music
  • The Loop Blog

Help

  • Help Center
  • Submit Feedback
  • Facebook (opens in new window)
  • X (opens in new window)
  • Instagram (opens in new window)
  • YouTube (opens in new window)
  • TikTok (opens in new window)
  • LinkedIn (opens in new window)
  • Download on the App Store (opens in new window)
  • Get it on Google Play (opens in new window)
  • Available at Amazon Appstore (opens in new window)
© 2026 Midwest Tape, LLC. All rights reserved. Privacy Policy | Terms of Use
  • Hoopla logo
  • Browse
  • My Hoopla
  • Log In
  1. Navigate Home
  2. Ebooks
  3. Data Engineering With Alteryx

EBOOK

Data Engineering With Alteryx

Paul Houghton
(0)
sign up
Pages
366
Year
2022
Language
English
Publisher
Packt Publishing

About

Alteryx is a GUI-based development platform for data analytic applications. Data Engineering with Alteryx will help you leverage Alteryx's code-free aspects which increase development speed while still enabling you to make the most of the code-based skills you have. This book will teach you the principles of DataOps and how they can be used with the Alteryx software stack. You'll build data pipelines with Alteryx Designer and incorporate the error handling and data validation needed for reliable datasets. Next, you'll take the data pipeline from raw data, transform it into a robust dataset, and publish it to Alteryx Server following a continuous integration process. By the end of this Alteryx book, you'll be able to build systems for validating datasets, monitoring workflow performance, managing access, and promoting the use of your data sources.

Related Subjects

  • Data Modeling & Design
  • Data Science
  • Computers
  • Adult Nonfiction
  • Business Intelligence
  • Business & Productivity Software
  • Data Visualization

Artists

Paul HoughtonAuthor