In a world where data is king, what happens when much of that data is unstructured and hard to decipher? 

In this episode, Nate and Josh are joined by Peter Guerra to discuss the challenges and opportunities that come with unstructured data. They begin by defining what unstructured data is and why it is becoming increasingly important in today's data-driven world.

The hosts and guest speaker then dive into the differences between a data lake, a data warehouse, and a data lakehouse, and how each can be used to aggregate both structured and unstructured data. They explore how these technologies are being used in different industries, including healthcare, life sciences, and sports, to drive better decision-making and improve outcomes.

Throughout the episode, the hosts and guest speaker share their insights and experiences working with unstructured data, and highlight some of the key trends and innovations shaping the field. They discuss the challenges of working with unstructured data, including data quality, data integration, and data governance, and offer practical tips and strategies for addressing these issues.

By the end of the episode, listeners will have a better understanding of what unstructured data is, and how it can be used to drive business value across a range of industries. They will also hear from an industry expert on the latest trends and best practices in working with unstructured data.

Tune in to this episode of our podcast to learn more about unstructured data and its impact on the world of data analytics and AI.