Why did you click on this video?
The odds are it's because you are interested in Apache Flink.
But why?
What problems are you trying to solve that Flink might be a good fit for?
Maybe the existing system you are working with is too slow, and you need something real-time.
Or, perhaps you have hit limitations with your existing platform and need to move to something more scalable.
Are you frustrated dealing with flakey batch jobs and want something more reliable?
That can't be it because batch jobs never fail...
Hold on...
I'm being told my batch job just failed...
I'll be right back.
Sorry about that...Now, where was I?
Maybe you already use Flink, but you'd rather have a managed platform to ease the pain of hosting your own.
Regardless of why you clicked on this video, I'm glad you did.
I've put together a series of videos and hands-on exercises that will show how to use Flink to interact with Kafka topics as though they were relational database tables.
But, if you are anything like me, you'll be dreading the idea of writing a bunch of SQL code.
The good news is we'll be using the Flink Table API in Java, which means no SQL knowledge is required.
And no, that doesn’t mean this is a NoSQL database.
Because it’s not a database.
Don’t worry, it will make more sense as we go through the course.
Oh, and did I mention it's completely free?
I'll even throw in some Confluent Cloud credits so you can get started with a new cluster without paying a dime.
So, follow along with me on Confluent Developer and I'll show you how to create a series of jobs to consume data streams in real-time.
If you aren't already on Confluent Developer, check the link in the video description to find the course.
And I'll see you in the next video.
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