Preface

For the past decade analytical tools have been evolving in the attempt to simplify the tasks of data gathering, sculpting, analyzing, storytelling, communication, distribution, security, and governance. Historically, this exercise has required a multitude of integrated technologies, and organizations had to stitch together solutions across all these technical disciplines. These technological hurdles were the antithesis of data democracy, vesting data power in a privileged few. This data autocracy resulted in data-breadlines with bottlenecked information requests at a time when the volume, variety and velocity of data were exploding. This book will help you learn ow to enable Data Democracy using Domo, a first of a kind integrated cloud platform-as-a-service offering that addresses the needs of both information producers and consumers at cloud scale in record time. Domo's integrated stack of core Business Intelligence technologies and analytical operations brings the power of data to every person in the organization. This data empowerment from the front-line through the corner office and to external constituencies, gives every individual the opportunity to have a voice that matters. These data-literate individual storytellers can make Data Democracy a reality using the Domo platform.

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.