Episode Details

Summary

The interfaces and design cues that a tool offers can have a massive impact on who is able to use it and the tasks that they are able to perform. With an eye to making data workflows more accessible to everyone in an organization Raj Bains and his team at Prophecy designed a powerful and extensible low-code platform that lets technical and non-technical users scale data flows without forcing everyone into the same layers of abstraction. In this episode he explores the tension between code-first and no-code utilities and how he is working to balance the strengths without falling prey to their shortcomings.

Announcements

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• Your host is Tobias Macey and today I’m interviewing Raj Bains about how improving the user experience for data tools can make your work as a data engineer better and easier

Interview

• Introduction
• How did you get involved in the area of data management?
• What are the broad categories of data tool designs that are available currently and how does that impact what is possible with them?
  • What are the points of friction that are introduced by the tools?
  • Can you share some of the types of workarounds or wasted effort that are made necessary by those design elements?
• What are the core design principles that you have built into Prophecy to address these shortcomings?
  • How do those user experience changes improv