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

Importing data from on-premises systems

The Domo connector library is robust for pulling data into Domo, but sometimes, especially for non-cloud systems that sit behind on-premises firewalls, it is better to push data into Domo than to pull data into Domo. Domo Workbench is sometimes referred to as the Universal Connector because it can be used when a connector isn't available, or a firewall will prevent Domo connectors from accessing the source. Primarily, Workbench lets you query local databases directly via ODBC and push the results into the Domo cloud. It also lets you upload local files such as Excel, CSV, JSON, and XML, and access local applications such as Jira and Quickbooks. All Workbench jobs can run on a convenient job scheduler. It is extensible, via plugins, to protocols such as MDX as well.

So, let's walk through the process of getting Workbench up and running.

Downloading the Workbench agent

To use Workbench, you need to download the application onto...