Summary
Sharing insights from your models is an important way to get value from your machine learning practice. Using dashboards as a medium for sharing your information is an accessible way to communicate insights to business users and teams outside of the data science team. In this chapter, we discussed how to build the gold layer, tips on presenting your data using DBSQL dashboards, taking advantage of innovations such as OpenAI models in DBSQL, and how you can share data and AI artifacts through Databricks Marketplace to get the most value from your enterprise data.
We hope you have had a chance to get hands-on with building your lakehouse. From exploration, cleaning, building pipelines, and building models to finding insights hidden in your data, all the way to sharing insights – it’s all doable on the Databricks Platform. We encourage you to take the notebooks and experiment! The authors would love to hear feedback, and whether this has been helpful on your journey...
