Videos Archive - PrestoDB

5 Reasons Why AI Is the Future of SQL – Jared Zhao, AskEdith

SQL remains ubiquitous for data retrieval and analytics, yet can be tedious to write, and is downright unusable for business users. The 2-5 business day turnaround time for data projects is both disruptive and frustrating for business users. Data teams are becoming increasingly overwhelmed, and organizations are pushing to empower their “citizen data analysts.” With the advent of AI English-to-SQL platforms like AskEdith, now anyone can work with and query Presto using plain English questions. AskEdith integrates natively with web interfaces like Ahana for a seamless analytics experience.

Executing Any External Code in Any Language with Presto – A Universal Connector – Ravishankar Nair

Connector based architecture is one of the powerful features in Presto for extensibility. While we have a solid pack of many connectors, the ability to reuse an existing external snippet to fetch data and access through Presto will make it enormously helpful. For example, consider accessing mainframe code through Presto using simple SQL which is quite cumbersome to handle by creating a connector paradigm. Ravishankar explores how he implemented this feature using a protocol server and a protocol connector which eventually helped him to achieve a patent on the concept.