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

Using federated data connections

A good way to think of federated data is as an in-memory cache layer. Federated is a great fit when there are large existing data lake investments and infrastructure that can be accessed via Domo without replicating the data.

Follow these steps when you need to connect to a federated source that is accessing the data where it is currently stored outside of the Domo cloud. Federated sources supported at the time of writing are Amazon Athena, Amazon Redshift, Google Big Query, IBM DB2, Microsoft Azure, SQL Server, MySQL, Oracle, PostgreSQL, Presto, SAP Hana, and Snowflake:

  1. Log in to your Domo instance.
  2. Click on the DATA main menu item.
  3. Click on the FEDERATED sub-menu item.
  4. If you haven't created a federated account, do so now by clicking the ADD NEW ACCOUNT button in the bottom left corner.
  5. Select the adaptor. In this case, let's choose PostgreSQL.
  6. Click on the orange NEXT button.
  7. Fill in the configuration...