12-06, 18:00–18:30 (UTC), Data Track
Stream processing is hard! It's expensive! It's unnecessary! Batch is all you need! It's hard to maintain! While some of these may sound true, the world of streaming data has come a long way and it is time we start to take advantage of data in real-time.
This talk dips your feet into the world of streaming data and demystifies some of the common misconceptions. We will cover some of the basics around streaming data and how you can get started with your first stream processing project with the Python open source stream processor Bytewax.
In this talk we will start with a bit of theory to get folks comfortable with the idea of streaming before getting hands-on with building a small streaming application on top of everybody's favorite news source, Hacker News! You can expect the first 5-10 minutes will be used to set the stage and the rest of the time we will spend explaining some of the concepts around streaming data while walking through the Hacker News streaming data application.
The code will be made available via GitHub after the talk.
No previous knowledge expected
Zander is the CEO and Founder of Bytewax. Before starting Bytewax he worked as a data scientist and machine learning engineer at Heroku and GitHub. He is passionate about building data tools and before starting Bytewax, built data tools internally. Outside of work, Zander enjoys all the outdoor activities that his home in Santa Cruz has to offer - namely surfing, biking and hiking.