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Catalog & Cocktails: The Honest, No-BS Data Podcast

What does Data Lakehouse, Sports and Generative AI have in common? with Ari Kaplan

Aug 31, 2023
Sports analytics expert Ari Kaplan joins Tim and Juan to discuss the emergence of data lakehouses, the evolution of data in sports, multi-touch attribution challenges, and the potential impact of generative AI on code generation. They also touch on the power of the data lakehouse in integrating structured and unstructured data for better predictions and insights.
01:01:12

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The lake house combines structured and unstructured data, providing better predictive analytics and insights.
  • Sports analytics in baseball and the NBA have embraced data-driven decision-making, while other sports are still exploring its potential.

Deep dives

A Brief Overview of the Lake House Concept

The lake house is a modern data stack that combines the benefits of structured data warehouses and unstructured data lakes. It offers a unified platform to handle data of various types, including structured and unstructured, allowing for better predictive analytics and insights. The lake house provides one environment for data storage, streaming, and analysis, simplifying governance and ensuring data lineage. With advancements in technology, the performance of lake house solutions has improved significantly, allowing for real-time processing of large data sets. Companies with diverse, large data sets and the need for comprehensive insights can benefit from implementing a lake house approach.

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