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

Using Views Explorer

Views Explorer is a data sculpting tool that creates non-materialized, in-cache views of your datasets. Views are useful when you want to reduce the columns users might see or create non-materialized data aggregates or mashups. Views are dataset definitions and once saved, they can be viewed in the dataset catalog. Views can be created by choosing the Views Explorer option on the dataset detail page under the Open With feature. Views live in the Adrenaline cache, so they are in-memory fast.

Next, let's take a tour of Views Explorer.

Touring the Views Explorer page

Before we proceed, let's get oriented with the features of the Views Explorer page, as seen in the following screenshot:

Figure 5.2 – The Views Explorer page's features

Figure 5.2 – The Views Explorer page's features

Let's look at the features that are available on the Views Explorer page:

  • View Name: Enables you to name and change the name of the view. This name is what will...