Narrator reposted this
Who is Text-To-SQL for? I've been talking to a lot of companies using AI, and there's this persistent feedback: "Text-to-SQL isn't for me." So, who is it for? Here’s what I've learned and would love to hear your thoughts too. - End Users: These are the business folks who don’t know SQL but want to ask questions in natural language and get answers directly. They love the idea of bypassing the data team, but hit a wall when it comes to verifying if the SQL generated is correct. They end up asking the data team anyway or just not trusting it. - SQL Analysts: These are the data engineers and analysts who know SQL but want to speed up their workflow. The dream here is having SQL auto-generated to save time. But the reality? The SQL often doesn’t match their style, is hard to read, and can take more time to debug than writing it from scratch. - The Dilemma: Text-to-SQL aims to bridge the gap between natural language and data querying, but it often falls short in both camps. The initial promise is there, but the implementation lacks polish, leaving many users skeptical and reverting to traditional methods. We need to rethink who exactly benefits from text-to-SQL and refine the approach to truly add value. If you’ve cracked the code or have a unique use case, I'd love to hear about it! Like, share, and comment if you found this insightful – let’s keep the conversation going! Full Video: https://lnkd.in/gR5sryB9 #genai #data #texttosql #sql #datamodelling #ai