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 reviewed five major areas in the Domo ecosystem (acquiring, storing, presenting, extending, and governing). We learned all these areas are integrated, working together as seen in Figure 1.1. This integration simplifies the user experience, making it so that a typical business user can use the entire ecosystem without having to rely on other more technical resources. This democratizes the process while also tracking user activities so that proper governance can be enforced. We learned that it is important to not only create content but also have proper roles in place to get the most out of the technology and that as the organization's scope grows, the roles also expand.

In the following chapters, we will be diving deeper into all five areas, providing detailed steps for how to accomplish various tasks. We will start with getting data into Domo, then move on to sculpting the data, then address presenting and distributing content. Additionally, we will cover extending the system beyond Domo. And finally, we will walk through governing activities.

In the next chapter, we will take a hands-on approach to using the acquire pipeline intake features of the Domo ecosystem.