Serverless Cloud Functions are a powerful tool in the software developer’s toolbelt. They allow us to quickly build out solutions, with the ability to deploy for free - then run at minimal cost, paying for only the exact amount of time the Cloud Functions are being used. In this session, we’ll live-code a use case for doing Big Data processing. Here’s what we will cover:

Describe the use case: process a large amount of data and store calculated, derived data, in a database

Use a Cloud Function trigger to process new data when it arrives

Use a Quarkus application, running in minimal-overhead command mode, to load and do calculations (running as a Cloud Function)

Store the calculated data in a NoSQL database

Write another Cloud Function to display the data in a web browser

Finally, we’ll leave you with a hands-on coding exercise - that you can run directly in your browser!

🎙 Speaker(s):
Pratik Patel (@prpatel) is an all-around software and hardware enthusiast with experience in the healthcare, telecom, financial services, and startup sectors. He's written some books, hacks on open source, and is currently a lead developer advocate at IBM. He helps to organize the Atlanta Java User Group, North Atlanta JavaScript meetup, and Big Data Atlanta, a frequent speaker at tech events, and master builder of nachos.

🎙Host
Pooja Mistry(@poojamakes) is a developer advocate for the IBM Cloud Platform. She works on expanding the reach of IBM's technology to New York City's developer community. Her area of interest includes prototyping withNode-RED, analyzing data, creating custom models with AI/MLservices, NLU/NLP, building chatbots, and using open source libraries and SDKs to develop fun and exciting projects!

Processing Big Data using Serverless and Java - (Virtual Lab)