Summer School 2018

From June 30 to July 6 2018, the two Big Data Competence Centers in Germany, ScaDS Dresden/Leipzig and BBDC, organized the 4th International Summer School on Big Data and Machine Learning in their summer school series. The summer school took place at Leipzig University.

Program & Highlights

The Summer School was preceded by a „streamline“ hackathon which centered on the hands-on development of an application for real-time analytics of streaming data. The Hackathon focused on the practical application of stream-based event processing. The challenge was to select one or more real-time data sources and build real-time analytics workflows or tools to improve strategic planning or decision making. Afterwards, a Summer School jury selected the best hackathon results. The Institute for Applied Informatics at the University of Leipzig e.V. (InfaAI) donated a price of 500 euros for the winning team.

The main program of the Summer School 2018 included the following topics:

•  Deep Learning
•  Data Mining in Stream Data
•  Machine Learning for the Sciences
•  Declarative machine learning with Apache SystemML
•  Confidentiality and Integrity of Cloud Databases
•  Visual Analytics for Big Data
• Cypher-based Graph Analytics on Spark
•  Web-scale information extraction
•  Big Data Integration
•  Big Data and HPC

In addition to the scientific program, the Summer School offered several social activities such as a city walk and a dinner in a traditional restaurant.

For a review with photos from the summer school and hackathon, see our blogpost: Review of the ScaDS Summer School 2018.

Below is the full program with additional information on the speakers and their topics:

Organizers

The Summer School and the Hackathon were organized by the two Competence Centers for Big Data Research in Germany, ScaDS Dresden/Leipzig and BBDC, in cooperation with the Institute for Applied Informatics (InfAI) e.V. at the Leipzig University.