Big Data on Serverless

6:00pm
Pizza, drinks, and networking

6:30pm
First talk: Running Big Data workloads on Serverless

In this talk, we'll talk about Big Data patterns as a service.

We will present a MapReduce reference architecture demonstrates how to use Serverless functions in conjunction with Amazon S3 to process data stored in S3.

By leveraging this pattern, you can build a cost-effective pipeline to run ad hoc MapReduce jobs. The price-per-query model and ease of use make it very suitable for data scientists and developers alike.

Speaker;
Aharon Twizer: Co-Founder and CTO of Spotinst

----5 minute break----

7:05pm
Demo: Serverless MapReduce

Hands-on example of a real Mapreduce operation completely running Serverlessly.

Daniel Doppelt, Serverless Principal Engineer at Spotinst