Hey, welcome to the next section here.
This one we're continuing with our Instagram data.
Let's see if Blue will do her trick again.
Blue.
Can you get it?
Who is my adorable little kitty?
You can stand up like a human.
She's come so far, just like you have come so far.
Yeah.
So we're working with Instagram data.
We set up the schema.
Now, all we have left is to do stuff with it.
So the way this section works is rather than me giving you a bunch of tables, showing you here's the
result I want, we're going to do it a bit differently.
I'm going to ask you more of a real world question, like, Hey, we're doing a sweepstakes, or how
about we're doing a campaign email campaign to email all of our inactive users and send them a reminder
that they should post.
So we need you to get all the inactive user's email addresses.
So something like that where it's kind of in real world terms, not in the terms of a database like
select all users where blah, blah blah, but you'll have to translate it.
So we'll do things like that or we'll do things like, Hey, we have a brand who's really pressuring
us to figure out what hashtags are the most useful or what to generate, generating the most likes.
And they want to know what three hashtags they should use.
So then you'll have to go right the query to find that answer.
What are the best hashtags?
How do you know?
So hopefully that's exciting.
I'm trying to make it kind of a nice ramp off to the real world just for the data section.
And then after this, like I said, we have the web app portion of the course.
So lots of exercises, all exercises and solutions in this section.
Goodbye.