Book Image

Data Democratization with Domo

By : Jeff Burtenshaw
Book Image

Data Democratization with Domo

By: Jeff Burtenshaw

Overview of this book

Domo is a power-packed business intelligence (BI) platform that empowers organizations to track, analyze, and activate data in record time at cloud scale and performance. Data Democratization with Domo begins with an overview of the Domo ecosystem. You’ll learn how to get data into the cloud with Domo data connectors and Workbench; profile datasets; use Magic ETL to transform data; work with in-memory data sculpting tools (Data Views and Beast Modes); create, edit, and link card visualizations; and create card drill paths using Domo Analyzer. Next, you’ll discover options to distribute content with real-time updates using Domo Embed and digital wallboards. As you advance, you’ll understand how to use alerts and webhooks to drive automated actions. You’ll also build and deploy a custom app to the Domo Appstore and find out how to code Python apps, use Jupyter Notebooks, and insert R custom models. Furthermore, you’ll learn how to use Auto ML to automatically evaluate dozens of models for the best fit using SageMaker and produce a predictive model as well as use Python and the Domo Command Line Interface tool to extend Domo. Finally, you’ll learn how to govern and secure the entire Domo platform. By the end of this book, you’ll have gained the skills you need to become a successful Domo master.
Table of Contents (26 chapters)
Section 1: Data Pipelines
Section 2: Presenting the Message
Section 3: Communicating to Win
Section 4: Extending
Section 5: Governing


In this chapter, we learned that there is a balance between having not enough or having too much process. We discussed key procedures for artifact ownership and how ownership facilitates trust, accuracy, and communication speed. We reviewed how to configure and execute a content certification process. We defined a workflow and set up projects for collecting and managing request queues via Domo Projects and Tasks and Buzz. We walked through the phases and steps for managing the content backlog. And finally, we addressed the strategy options available for dealing with artifact development and migration. As a result, we are very prepared to put in place just the right amount of process to regulate the traffic in our data democracy.

Democracies derive power from their people where each voice matters. Democratizing data is extending the boundaries of who has access to and consumes data to meet and optimize their responsibilities. The Domo platform brings revolutionary capabilities...