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

Creating a drill-down to a different dataset

Continuing the example, we will create a drill-down card that starts from an aggregate dataset but drills to a detailed dataset, in this example, from the Region drill-down card to a Type drill-down card. When drilling from one dataset to another, the same context-sensitive field and value click detection are used but the filtering on the destination dataset is based on field names. So, be sure that field names to filter on from the aggregate dataset match the field names on the drill-down dataset. Let's give it a go:

  1. From the Sales Attainment wrench icon Edit Drill Path view, click the + Add a view link to add the next drill-down level under the Region path.
  2. Change the dataset to drill down to the detail data by clicking Quota in the DATA panel, selecting the Opportunity CH7 dataset, and clicking CHOOSE DATASET.
  3. Ignore the warning and click Switch DataSet.
  4. Change the chart type to Bar in the Horizontal bar chart...