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 15: Using Domo APIs in Python

Python is a high-level, interpreted programming language that trades off execution speed for development productivity when compared to something such as Java or C++. Python is very attractive for rapid application development, is simple and free to use, and is easy to distribute. All these characteristics make it a great tool for democratizing extensions to the Domo platform via Domo application programming interfaces (APIs), directly or wrapped by Python libraries.

In this chapter, we'll look at the two available options for using Python with Domo. The first is through the Extract, Transform, and Load (ETL) scripting tile for Python. This feature is a paid subscription option from Domo as a part of the Data Science module for Magic ETL. The Python scripting tile houses a self-contained Python instance in the cloud that allows us to use the full range of Python's power in Magic ETL data pipelines. If there is not a tile to do some...