Data Democratization with Domo: Bring together every component of your business to make better data-driven decisions using Domo
Author: Jeff Burtenshaw
Publisher Finelybook 出版社：Packt Publishing (June 17, 2022)
pages 页数：576 pages
Overcome data challenges at record speed and cloud-scale that optimize businesses Author: transforming raw data into dashboards and apps which democratize data consumption, supercharging results with the cloud-based solution, Domo
Acquire data and automate data pipelines quickly for any data volume, variety, and velocity
Present relevant stories in dashboards and custom apps that drive favorable outcomes using Domo
Share information securely and govern content including Domo content embedded in other tools
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.
Author: the end of this book, you’ll have gained the skills you need to become a successful Domo master.
What you will learn
Understand the Domo cloud data warehouse architecture and platform
Acquire data with Connectors, Workbench, and Federated Queries
Sculpt data using no-code Magic ETL, Data Views, and Beast Modes
Profile data with the Data Dictionary, Data Profile, and Usage tools
Use a storytelling pattern to create dashboards with Domo Stories
Create, share, and monitor custom alerts activated using webhooks
Create custom Domo apps, use the Domo CLI, and code with the Python API
Automate model operations with Python programming and R scripting