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

Defining an alerting strategy

Asking the question What is our alerting strategy? will likely result in a bunch of blank stares. We spend so much time on creating monitoring dashboards and then often fail to take the next step and activate the data through alerts. Or, we go the other direction and alert on so many things that the alerts become meaningless noise. Defining an alerting strategy is about taking a planned and governed approach to determine what the system should monitor, by what method, how frequently, and what actions are expected. It is suggested that the strategy is created outside of the tool first, and then implemented in the toolset. This discipline forces strategic thinking and allows for rationalization of the number of conditions to be monitored. Keep in mind that a strategy, by design, is a high-level blueprint and will not be specific enough to cover all implementation details. The specific elements involved in defining a good strategy are contained in the Alert...