Welcome back to uh the next session of data pipeline building. So, you know, in the last lecture, we talked a lot about building a scheduler and getting a job that runs on some sort of cadence, whether that be every day, every hour, every minute. So today we're gonna be talking about how to set up this job and actually create the data and move it into Snowflake. So the very first thing we need to do is go to snowflake.com. And we need to create a stupid little free trial, right? So we're gonna say uh Zachary Wilson, I'm gonna be like Zach at dataexpert.io. And then I'm gonna say company is uh well we was gonna say personal learning and development, we're gonna hit continue and then we'll just put dataexpert.io and I'm a founder, whatever, blahdy blah blah. We'll pick AWS, why not? uh US East is fine, Ohio. Uh, this is giving Ohio riz right here, but it is what it is. Get started, uh, uh, preferred languages, SQL and Python, cause we're beast in. I don't give a shit. OK, so we should have got an email. Just go you can check out if we got an email. There's our email, activate here. OK, let's go ahead and activate here. OK, let's make a uh a username, say like Zach. Then I'm gonna say, uh, we'll just do a. I will say we like. Password must be 14 characters, OK. Like, fine, we'll just do the freaking suggested password, but like, I need to copy that guy though. We gotta have, we gotta hold on to that guy, get started. OK.