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

Introducing the Domo ecosystem

The Domo ecosystem was designed from its inception to be disruptive to how data is acquired, structured, stored, transformed, shared, used, extended, and governed. The overarching objective in its creation was to empower everyone to answer business questions at the speed of business. For example, no more waiting in the proverbial BI breadline for IT or technical resources. Understanding that many questions have a shelf life and are perishable in their utility is a foundational belief that translated into access, speed, and agility in the product. A large part of the product investment was made in data acquisition/pipeline capabilities to ensure that the most difficult and time-consuming activities in answering business questions, namely data intake, storage, and sculpting, are streamlined for the non-technical user while preserving appropriate security.

Therefore, to answer questions quickly, it follows that a typical user needs to be able to do the following:

  • Intake data quickly, whatever the data volume, variety, and velocity.
  • Provide data extraction to outtake data from Domo to other applications.
  • Have the data automatically stored and indexed for fast queries at scale.
  • Sculpt the data and automate data pipelines.
  • Present relevant stories that drive favorable outcomes.
  • Securely share information and communicate with context.
  • Enable extensions with a crowd-sourced app store and custom apps.

This unique combination of pre-integrated and universally governed layers in the ecosystem enables non-technical users to quickly, accurately, securely, and relevantly deliver end-to-end solutions.

The following diagram visualizes the Domo ecosystem:

Figure 1.1 – The Domo ecosystem

Figure 1.1 – The Domo ecosystem

Let's look at each of the layers shown in Figure 1.1 in turn, starting with Acquire.