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

Chapter 16: Using Domo Machine Learning

Machine learning (ML) is everywhere these days and businesses that aren't marshaling their data with ML algorithms may not be able to compete effectively in a machine-optimized world. Democratizing ML – putting the power of ML into non-data scientists' hands – is what Domo's AutoML feature does. Domo partnered with Amazon Web Services and their SageMaker Autopilot product to bring this capability to Domo platform users in a turnkey way. Essentially, a Domo dataset is processed through SageMaker Autopilot with ease. This feature trains hundreds of potential ML models against a Domo dataset and determines the best model for predicting a chosen variable. The best model can be deployed in a Magic ETL dataflow using the AutoML Inference tile, which adapts to new incoming data and generates the value prediction from the model. The combination of Domo and Amazon SageMaker Autopilot helps make ML accessible to any analyst...