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

Working with the properties of a single dataset

The dataset detail page has a robust set of features for interacting with and securing datasets. To view a dataset detail page view, click on the desired dataset name, in this case, Opportunity, in the dataset Results list as seen in Figure 3.4:

Figure 3.4 – Opportunity dataset detail page

The dataset page has all of the metadata you would expect: dataset name, owner, connector type, number of fields and rows, and data refresh date. Additionally, the Tabs and Options areas provide actions that can be taken on the dataset. Next, let's go through each of the tabs, starting with the OVERVIEW tab.

Using the OVERVIEW tab

The OVERVIEW tab has several tiles that communicate the use of the dataset and also enable actions to be taken:

  • The Direct Impact tile shows the number of objects by object type (cards, datasets, dataflows, and alerts) that directly use the dataset. Clicking VIEW FULL IMPACT...