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.

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Spis treści

Data Engineering with Alteryx. Helping data engineers apply DataOps practices with Alteryx eBook -- spis treści

• 1. Getting Started with Alteryx
• 2. Data Engineering with Alteryx
• 3. DataOps and Its Benefits
• 4. Sourcing the Data
• 5. Data Processing and Transformations
• 6. Destination Management
• 7. Extracting Value
• 8. Beginning Advanced Analytics
• 9. Testing Workflows and Outputs
• 10. Monitoring DataOps and Managing Changes
• 11. Securing and Managing Access
• 12. Making Data Easy to Use and Discoverable with Alteryx
• 13. Conclusion