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Data Engineering with Alteryx
By :
Data Engineering with Alteryx
By:
Overview of this book
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.
Table of Contents (18 chapters)
Preface
Part 1: Introduction
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Chapter 1: Getting Started with Alteryx
Chapter 2: Data Engineering with Alteryx
Chapter 3: DataOps and Its Benefits
Part 2: Functional Steps in DataOps
Chapter 4: Sourcing the Data
Chapter 5: Data Processing and Transformations
Chapter 6: Destination Management
Chapter 7: Extracting Value
Chapter 8: Beginning Advanced Analytics
Part 3: Governance of DataOps
Chapter 9: Testing Workflows and Outputs
Chapter 10: Monitoring DataOps and Managing Changes
Chapter 11: Securing and Managing Access
Chapter 12: Making Data Easy to Use and Discoverable with Alteryx
Chapter 13: Conclusion
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