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Data Engineering with Alteryx

You're reading from   Data Engineering with Alteryx Helping data engineers apply DataOps practices with Alteryx

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781803236483
Length 366 pages
Edition 1st Edition
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Author (1):
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Paul Houghton Paul Houghton
Author Profile Icon Paul Houghton
Paul Houghton
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Introduction
2. Chapter 1: Getting Started with Alteryx FREE CHAPTER 3. Chapter 2: Data Engineering with Alteryx 4. Chapter 3: DataOps and Its Benefits 5. Part 2: Functional Steps in DataOps
6. Chapter 4: Sourcing the Data 7. Chapter 5: Data Processing and Transformations 8. Chapter 6: Destination Management 9. Chapter 7: Extracting Value 10. Chapter 8: Beginning Advanced Analytics 11. Part 3: Governance of DataOps
12. Chapter 9: Testing Workflows and Outputs 13. Chapter 10: Monitoring DataOps and Managing Changes 14. Chapter 11: Securing and Managing Access 15. Chapter 12: Making Data Easy to Use and Discoverable with Alteryx 16. Chapter 13: Conclusion 17. Other Books You May Enjoy

Exporting the MongoDB database for custom analysis

MongoDB is a document store database that allows easy expansion and changes in the database schema. In addition, it gives the ability for different levels of data to be included in the database without needing to populate associated fields for every document.

These benefits mean that the database type is not ideal for completing the analysis, nor is the database very performant when running the types of queries that an analysis project needs. As with anything in technology, choosing the best tool or technology for the job is key. In the case of an analysis project, extracting the information we need from MongoDB and loading that into another database type, such as Snowflake for Analytics, will allow for the best performance.

The MongoDB schema

Alteryx Server frequently changes the MongoDB schema as the features and capabilities are updated, but some core collections appear in most analyses. The full details of the MongoDB...

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