Leveraging Serverless Architecture for Powerful Data Pipelines | Talks
Serverless Architectures that allow us to run python functions in the cloud in an event-driven parallel fashion can be used to create extremely dynamic and powerful data pipelines for use in ETL and data science. Join me for an exploration of how to build data pipelines on Amazon Web Services Lambda with python. We'll cover a single introduction to event-driven programming. Then, we'll walk through building an example pipeline while discussing some of the frameworks and tools that can make building your pipeline easier. Finally, we'll discuss how to maintain observability on your pipeline to ensure proper performance and troubleshooting information.
Jason Myers
Jason works at Juice Analytics as a Software Engineer after spending 15 years as a systems architect and building datacenters and cloud architectures for several of the largest tech companies, hospitals, stadiums, and telecomm providers. He's a passionate developer who regularly speaks at local and national events about technology. He's also the chair of the PyTennessee conference. He's also the author of Essential SQLAlchemy 2nd via O'Reilly Media, Introduction to Relational Databases via Data Camp, and the upcoming Serverless Data Pipelines with Python via Manning Press.
Portland Ballroom 252-253
Friday, 19th May, 17:40 - 17:40
