SQL

“Agents really like file systems. They like them better than SQL. They're really trained on doing grep and doing kind of search in the Unix command line.”

“If you've got a piece of software, all you're really doing is wrapping up SQL and putting a car logo on it instead of a bike logo on it so that it's car software instead of bike software, then yeah, you're screwed. That's what happened with cloud too.”

“It's very similar to what's happening right now with apps and agents. How do you bring apps and agents together as opposed to just talk about the future, which is agents, and the past, which is apps. You know, there was a time when SQL was being looked at in t…”

“Without SQL, you can't say you have a great knowledge graph.”

“Like if a non-technical people would see that SQL, They will probably abandon the project. They will get panicked.”

“The sort of business intelligence applications is they really focus on technical users. So if you could write SQL or Python, you could do whatever you want in them to give them a really powerful interface, but the vast majority of people, they're not going to …”

“So I think it's still possible for anyone to build an app tier on top of a model, and you have to sort of abstract yourself and say, yeah, the model is just like SQL was to me. And so I think that, I mean, I always dreamt of a moment when AI slash machine lear…”

“I think what that data analyst, instead of writing millions of variations of basically similar queries, is now going to be describing datasets. He's going to be running these queries, but he's going to give semantic, they're going to give semantic context to w…”

“Anything that cannot be put into nice database tables where you can run SQL, anything that is not that is unstructured data.”

“So the idea that I'm supposed to adopt a SQL semantic concept into my natural language is the ultimate hubris of engineering.”

“You don't need to be nearly as technical as you used to like, AI can help you write the code. It can tell you other ways of doing things. Like it's even just like in that element of like who I would used to like have a bias for hiring. It's totally changed.”

“You can edit the SQL, which was funny because that was like a heavily requested feature, but no one actually does it. It's like people just want to know that they can.”

“SQL you can learn quickly. What's going to take time is just getting a sense for how data Operates and flows and data sets in general.”

“The next one I said SQL isn't going anywhere, and I kind of said that for more than one reason. One, I feel like someone's going to tell us it's time to revamp data lake v one again, where we'll just dump everything in there and we'll let an LLM figure it out …”

“Now the reason why it's asking me to review this cause SQL is no joke. You can really destroy business writing the wrong commands”

“You might not even know what the SQL code looks like. You can just say, I need a table for users and emails, and the users and emails are probably related in some way, and it can help you design the back end for your application as well.”

“In like, you know you know, 15, 20 minutes, we were able to build an application, we deployed it, we did a data migration, we moved it to SQL, we pushed it to GitHub, and we're on our way.”

“We don't have that at Shopify. At Shopify, if a marketer wants to create a new landing page, they have to go into GitHub. They have to know how to write some code. They have, like, this is a real thing, and our, so our marketers learn how to write some code. L…”

“But I think in the real world, it gets a lot messier than like knowledge graph style of things where it's like, well, is there a relationship between these two nodes? Like, ah, I don't know. Like is, are these two separate nodes? Like those kinds of messy bord…”

“You can write a parquet object and then query it using SQL natively off of our platform without needing any higher layers on top.”

“Trying to put together SQL queries in such a manner to understand those interrelationships is virtually impossible, and honestly was part of the reason that you don't see a lot of the value derived when you buy the data, because you have to spend so much time,…”

“It's really much easier for someone who's maybe not be as sophisticated with SQL to suddenly start asking and answering questions of their data in ways that would have taken them three, six, 12 months to learn beforehand.”

“If someone wants me to help them write SQL, or like, I don't know, debug something in Excel, like I'll go do something I do support for other people's products in Slack, because I just think it shows like a positive association with how much we care about thei…”

“So the data stack is, in my team, the data stack is SQL and scikit, and occasionally Go”

“Using a no-code tool, and it introduces coding concepts. You start to learn about conditionals and filter criteria, just these things that you need to know When you're writing an SQL query, but you can learn it in a more beginner friendly way and kind of gradu…”

“The way this problem is solved in most enterprises is that you deploy armies of analysts, and they get tickets and requests, and they write SQL, right?”

“You can build internal tools with very little code. If you can write SQL, you can build an internal tool basically, and that pushes information to the teams that need it.”

“Data Warehouse is becoming the loading dock for all of this data, which can be very easily modeled as events. But it's not a very great analytical tool for events because SQL is optimized for rows and tables and joints and not events and sequences of events an…”

“They're moving in, like, the semantic layer tool, so basically they're saying, give us raw data, and we will tell you, like, apply semantics to it. The way that they do that now is through SQL. So, like, semantics are kind of, like, air quote semantics. It's b…”

“There are actually two orders of magnitude more human beings on the planet that can write SQL than can write Spark or Scala or whatever.”

“We really do think that the future of data processing is polyglot, and I think that if you look in five years, you will find more robust abstractions on top of data, and even in the DBT ecosystem, than SQL.”

“Every single person that works with us at Left Land on the investment team is trained on how to use SQL, how to use Alteryx.”

“When we look for product growth people at Facebook, we tried to find people who knew SQL. You would try to get PMs who know SQL, and you would try to get a lot of data scientists and data engineers in these teams.”

“So in databases, there really only been one officially sanctioned blessed query language called sequel until a couple of years ago when the ISO ended up blessing GQ as the formal query language for graph databases.”

“I don't ever want to separate SQL from, you know, Python in mode because the point of the product is that you can move seamlessly between the two. If we break those into separate a la carte items, you know, I don't want our customers to have to choose.”

“The other one that I, I'd point to that I haven't used deeply myself, but I just think is a thing that the world really needs is SQL fluff. SQL FL U F F. And it's a linter for SQL. And I'm just kind of shocked that we have got to 20 21 without there being a, l…”

“Any pitch. I'm generally very skeptical where you can tell folks, you can have all these great new benefits of low latency or whatever it is, but you got to start all over from scratch, right? You have to throw everything out there and you're going to rebuild …”

“The big problem with SQL as it was taught, like if you were to go buy a SQL book at that time, and maybe even still today it's focused on software development, which means that the first chapters are going to be about setting up your database, getting data int…”

“What's happening now or over the past, you know, five or so years, the, Transformation step now happens inside the data warehouse and it happens in SQL. And because of that, it is now accessible to a dramatically larger number of people.”

“Instead of depending on foreign keys to relate the data, you can actually just use time and customer.”

“All the people I've seen learning SQL, it took them, like, four or five days to get, like, a beginner level that's enough to start understanding things”

“Me knowing SQL and me knowing how to create a chart doesn't make me an analyst any more than knowing Photoshop makes me a designer.”

“They're gonna need SQL skills, they're gonna, they might need Python or R skills, they'll need something like Excel but those things are learnable, whereas I think, like, the way of thinking is often harder to teach.”

“At some point, everybody in our team knew how to do SQL”

“So, you know, Cockroach bridges the gap. It's both of those things. It has both of those things, and it doesn't compromise.”

“Trained almost the entire company to use SQL.”

“Oftentimes, ah, from a question perspective, the interesting insights in the data are actually found outside of your selection, ah, outside of your query.”

“The top, the very top, SQL, is aspirational. We do intend to do it but we haven't started working on it yet.”