In this video, the speaker demonstrates how to leverage the power of AI within Databricks SQL to enhance the data lakehouse experience. The main topics covered include utilizing AI functions to predict future revenue trends, creating materialized views to accelerate queries, and performing sentiment analysis on customer reviews.
The video begins with the speaker using AI functions to predict future revenue trends by generating a forecast using the assistant in the SQL editor. The assistant helps create and fix code errors, making it easy to incorporate AI into data analysis without the need for Python or data scientists.
Next, the speaker demonstrates how to create a materialized view to accelerate queries, especially those using AI, and publish it to PowerBI securely using direct query and SSO login. This allows for seamless sharing of insights with the management team.
Lastly, the speaker shows how to utilize AI query to generate automatic responses to customer reviews and perform sentiment analysis to understand customer sentiment towards food and drinks at stores. The Vector search function is used to search for related reviews, even if the exact word is not present, making data analysis more efficient.
Key takeaways:
– AI functions can be used to predict future trends and perform sentiment analysis
– Materialized views help accelerate queries and make sharing insights easier
– Vector search function enhances the search capabilities for related reviews.