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Episode list and links to all available episode transcripts (most interviews from #32 on) here
What do we need to develop to provide a better experience for data product developers and consumers? How can we make it easy for consumers to move from discover to trust to lean to use? We still have a long long way to go with analytical APIs, they are basically only for sharing raw data at the moment – how can we better share the embedded information? And how can we give data product developers the ability to do the right thing by default where we optimize for ease of use and also for more generalist developers to use – instead of hyper-specialized tools experts? There have been two very separate universes of operational and analytical planes – how do we change that and leverage software engineering practices in analytics?
Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him at community at datameshlearning.com or on LinkedIn: https://www.linkedin.com/in/scotthirleman/
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