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COMPETENCE CENTER
FOR SCALABLE DATA SERVICES
AND SOLUTIONS

First Streamline Hackathon in Munich  

Preceding the 3rd Joint International BBDC and ScaDS Summer School for Big Data, we hold a Big Data hackathon from August 19th-20th in Munich. The hackathon aim is to attract a diverse crowd of people from around the world from academia and companies and in particular computer science master students. The participants learn in the two days hackathon about building complex real-time data analytics pipelines based on open-source cluster-computing frameworks (i.e., Apache Flink and Apache Spark). The hackathon attendance is free and food and drinks will be provided.

In the open coding session, the participants implement their ideas using the frameworks. The participants will get a short introduction and sample programs in the frameworks. The challenge to solve is to pick one or more real-time data sources, either provided by the samples or self chosen and optionally historical data sources and build real-time analytics, which improve strategic planning or decision making.

We will give prizes to the groups with best ideas, implementations, and demonstrations!

Hackathon Prizes

1st Place - 1500 €

2nd Place - 1000 €

3rd Place - 500 €

 

Registration

The hackathon attendance is free and food and drinks will be provided. 
The places for the hackathon are limited. The summer school participants have priority. 
Please follow the link to register for the first Streamline Hackathon. 
This is not necessary if you will register for the Summer School, or have already registred.

We highly recommend to attend the hackathon as students. In this case, team building up to 3 students is possible.

 

Agenda

 

August 19

August 20

9:00 - 10:00

Welcome & Keynote

Coding session

10:00 - 10:30

Coffee Break

Coffee Break

10:30 - 12:00

Introduction to Framework APIs

Coding session

12:00 - 13:00

Lunch

Lunch

13:00 - 14:00

Problem definition

Coffee Break

14:00 - 15:00

Coding session

Coding session

15:00 - ..

Coding session

Presentation & Evaluation