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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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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

Overview of intaking tools

The Domo platform greatly simplifies the process of getting structured data into the cloud; well, that is, after you have identified the right Domo tool for doing so. The data's source, volume, and security are key factors to selecting the right tool. The destination for all structured data coming into Domo is the dataset. The following figure illustrates some of the many options for data intake:

Figure 2.1 – Intake pathways into Domo

Figure 2.1 – Intake pathways into Domo

Let's look at the sources of data that can be used for import.

Data sources

Here are brief descriptions of the supported data sources:

  • Cloud applications are applications such as Salesforce that run in the cloud, or pretty much any SaaS app with a data API. Connectors also can bring in files from email attachments, cloud databases such as Snowflake, and even public data sources such as census data or RSS feeds.
  • Local files are Excel, CSV, JSON, and XML files...
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