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

Setting up the Domo development environment

To create Domo apps, we must first set up the development environment. Dev Studio utilizes Node.js, which includes npm. Also, we can get a developer sandbox instance to house our work-in-progress app definitions and app cards. The environment will enable us to work with Domo API functions directly and use the JavaScript (JS) libraries that wrap Domo API functions. Finally, we can set up our OAuth client ID and client secrets for secure API access via a token:

  1. First, check whether Node.js is installed by opening a terminal window and entering the node --version command in the shell prompt. If Node.js is installed, the version will be printed. If not, then install Node.js following the directions here:
  2. Make sure that /usr/local/bin is in your $PATH. For help, see How to add a directory to your path for Mac, or How to add a directory to your path for Windows, in the Further reading section.
  3. Update...