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)
1
Section 1: Data Pipelines
7
Section 2: Presenting the Message
12
Section 3: Communicating to Win
17
Section 4: Extending
21
Section 5: Governing

Migrating artifact changes to production

In code development, it is standard practice to have a formal process to migrate changes from a development environment to a production environment. However, with Business Intelligence systems that is often in the category of sitting at the traffic light in the middle of the night waiting, even though there are no other vehicles on the road. Let's discuss when the risk is high or low in the Domo platform to determine the best fit strategy for migration. The following table shows some common characteristics for this evaluation and the appropriate strategy for migration:

Figure 19.33 – Artifact migration strategy considerations

Figure 19.33 – Artifact migration strategy considerations

The following are broad definitions of the strategies for migration:

  • Full-stack migration: This strategy requires the for-fee Sandbox feature to maintain a development environment separate from the production environment where all artifacts can be developed and tested before...