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Data Democratization with Domo

You're reading from   Data Democratization with Domo Bring together every component of your business to make better data-driven decisions using Domo

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781800568426
Length 576 pages
Edition 1st Edition
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Author (1):
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Jeff Burtenshaw Jeff Burtenshaw
Author Profile Icon Jeff Burtenshaw
Jeff Burtenshaw
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Toc

Table of Contents (26) Chapters Close

Preface 1. Section 1: Data Pipelines
2. Chapter 1: Domo Ecosystem Overview FREE CHAPTER 3. Chapter 2: Importing Data 4. Chapter 3: Storing Data 5. Chapter 4: Sculpting Data 6. Chapter 5: Sculpting Data In-Memory 7. Section 2: Presenting the Message
8. Chapter 6: Creating Dashboards 9. Chapter 7: Working with Drill Pathways 10. Chapter 8: Interacting with Dashboards 11. Chapter 9: Interacting with Cards 12. Section 3: Communicating to Win
13. Chapter 10: Telling Relevant Stories 14. Chapter 11: Distributing Stories 15. Chapter 12: Alerting 16. Chapter 13: Buzzing 17. Section 4: Extending
18. Chapter 14: Extending Domo with Domo Apps 19. Chapter 15: Using Domo APIs in Python 20. Chapter 16: Using Domo Machine Learning 21. Section 5: Governing
22. Chapter 17: Securing Assets 23. Chapter 18: Organizing the Team 24. Chapter 19: Establishing Standard Procedures 25. Other Books You May Enjoy

Using SQL dataflows

SQL dataflows is a tool for those of you who know the SQL scripting language. It enables you to chain multiple sequential SQL commands into a transformation pipeline. Domo datasets are the only supported inputs, and the output is one or more datasets. Let's go through the steps of how to create a SQL dataflow.

Creating a SQL dataflow

Let's walk through a scenario where we must create a SQL dataflow to produce a new aggregated dataset that supports burnup charting:

  1. Click on the DATA item in the Domo main menu bar.
  2. Click SQL in the MAGIC TRANSFORM area.
  3. Enter Opportunity Aggregate in the DataFlow Name & Description box.
  4. In the Input DataSets area, click SELECT DATASET.
  5. Click Opportunity Cleansed in the Select a Dataset popup.
  6. Click the CHOOSE DATASET button.

At this point, the page should look as follows:

Figure 4.13 – SQL dataflow with an input dataset

Figure 4.13 – SQL dataflow with an input dataset

Let's add the Date...

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