Domo Data Science Toolkit - Product Review and Best Practices

As part of my "Data Science Demystified" series, I had the opportunity to interview Data Science consultant and Major Domo practitioner John "Doc" Stevens from Crystal Ballers about the Domo Data Science Toolkit.  

These tools include PyDomo & DomoR libraries for local development, Magic ETL tiles, and a Domo Juypter Notebook integration.  Because each tool has distinct strengths and weaknesses, they fit into different parts of your data pipeline and data science project roll out.  

In this video, we review each feature as well as make recommendations on how and when to use each tool as part of your pipeline.

Interview Sound Bites

Getting Started
00:01:40 Introducing Doc Stevens
00:03:09 Data Science: "Job of the Year" ... 15 years later
00:03:48 Build your Data Science pipeline for free with PyDomo and DomoR
00:05:04 Introducing Data Science in Magic ETL
00:07:33 Introducing Magic ETL Scripting Tiles
00:11:43 How does Analyzer fit into the Data Science workflow?
00:15:47 Data Science in Magic ETL is a premium feature
00:17:41 Case Study: using Domo's toolkit in a real Data Science project
00:19:09 Data Science is an Iterative Process... what does that mean? How does Domo help?
00:22:07 Hot Take: Jupyter Notebook integration is a wave of tools that rebrands Domo as a tool for analysts
00:23:13 Wrap-up and closing thoughts

Food for Thought
00:06:22 Food for Thought: evaluating model accuracy in data science tiles
00:07:58 Hot Take: keep your pipeline secure by keeping Data Science in Domo
00:09:06 Hot Take: Building a model is easy. Automation is Hard ... what does that mean?
00:12:13 Hot Take: How does Domo support a 'data science pipeline?' -- cont

Diving Deeper
00:09:26 Tech Tip: What is Feature Engineering & why should you care?
00:13:41 Tech Note: using and adding packages to Scripting Tiles
00:14:37 Tech Note & Work Arounds: Magic Scripting Tiles cannot access the internet
00:16:28 Jupyter Notebook vs. Magic ETL Scripting Tile: use the right tool for the job
00:19:49 Hot Take: Analyze in Jupyter. Automate with Magic. Drive action with Analyzer
00:21:17 Tech Note: understand the limitations of the tools in the toolkit
00:25:12 Tech Note: Install Libraries in Jupyter Notebook // How it all Works
00:26:13 Pro Tip: Domo Jupyter can access the internet
00:26:47 Pro Tip: Maintaining performance in scripting tiles
00:28:18 Pro Tip: Using Domo Jupyter in your production pipeline
00:28:47 How to get into Domo Jupyter (if you own it)

Additional Resources

• https://developer.domo.com/docs/domo-sdks/
• https://knowledge.domo.com/Prepare/Magic_Transforms/DomoR_Plugin
• https://knowledge.domo.com/Prepare/Magic_Transforms/ETL_DataFlows/Magic_ETL_v2_Tiles%3A_Scripting_(Beta)
• https://knowledge.domo.com/Prepare/Magic_Transforms/ETL_DataFlows/ETL_Actions%3A_Data_Science
• https://knowledge.domo.com/Connect/Connecting_to_Data_Using_Other_Methods/Jupyter_Workspaces_(Beta)