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From June 30th to July 6th 2018 the two in Germany based Big Data Competence Centers ScaDS Dresden/Leipzig and BBDC are organizing the fourth internationalsummer school on Big Data and Machine Learning in its summer school series (20162017). The event aims at graduate students, Ph.D. students, researchers as well as well as practitioners starting or being active in the field  of Big Data and Machine Learning. Within the program, we offer inspiring insights into the area by selected research keynotes from international experts combined with industrial talks.  Prior to the summer school, there will be a "streamline" hackathon for hands-on development of an application for real-time analytics of streaming data.  Furthermore, there will be plenty of opportunities to exchange ideas and to discuss the topics with other participants and speakers. The summer school also hosts several social activities such as a city walk and a dinner in a traditional restaurant.

 


Important Dates

Hackathon: June 30th- July 1st 2018

Summer School: July 2nd- July 6th 2018

Locations:

The big data Hackathon will be held at the Geisteswissenschaftliches Zentrum (GWZ) of the Universität Leipzig,  Beethovenstraße 15, 04107 Leipzig

and the Summer School will be held at the University of Leipzig, Hörsaalgebäude, Augustusplatz 10, 04109 Leipzig

(Street map view to get to the locations of the event)

How to get to Leipzig and the Leipzig University (and ticket options for the public transport): Directions
Summer School 2018 FAQ

 

 


Topics and Program Highlights

 

The Hackathon will focus on the practical application of stream-based event processing. (more Information)

  • Overview to building complex real-time data analytics pipelines based on open-source cluster-computing frameworks 
  • Implementation by using such frameworks
  • challenge: pick one or more real-time data sources and build real-time analytics workflows or tools, which improve strategic planning or decision making. Source are either provided by the samples or can self chosen and optional historical data sources can be used.

A summer school jury will select the best hackathon results. The Institute for Applied Informatics at the University of Leipzig e.V. (InfaAI) endows a price of 500 Euro for the winning team.

 

  The topics of the summer school include:

  •  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

 

(Preliminary) Program

Time Saturday
Jun. 30th
Sunday
Jul. 1st
Monday
Jul. 2nd
Tuesday
Jul. 3rd
Wednesday
Jul. 4th
Thursday
Jul. 5th
Friday
Jul. 6th
9:00 - 10:30

Hackathon
Welcome & Keynote

(GWZ Hörsaal)

Coding
Session

(GWZ Hörsaal)

 

Hans-Joachim Bungartz
(TU Munich)

Big Data meets HPC


(Hörsaal 8)

Thomas Seidl
(LMU Munich)

Big Data Science, Streams and Process Mining

(Hörsaal 8)

Donald Kossmann
(Microsoft Research)
Confidentiality and Integrity of Cloud Databases

(Hörsaal 8)

Martin Junghanns  &
Max Kießling (Neo4j)

Cypher for Apache Spark 

(Hörsaal 10)

  break break   break break break break
11:00 - 12:30

Introduction to FrameworkAPI's

(GWZ Hörsaal)

CodingSession

(GWZ Hörsaal)

Summer School Registration

  
Ulf Leser
(HU Berlin)
Web-Scale Domain-Specific Information Extraction

(Hörsaal 8)

Daniel A. Keim
(Univ. of Konstanz)
Solving Problems with Visual Analytics: The Role of Visualization and Analytics in Exploring Big Data

(Hörsaal 8)

Erhard Rahm (ScaDS) & Eric Peukert (ScaDS)& Alieh Saeedi (ScaDS) & Marcel Gladbach (ScaDS)
Big Data Integration Research at ScaDS Dresden/Leipzig

(Hörsaal 8)

Begum Demir
Analysis of Big Data in Earth Observation

(Hörsaal 10)

12:30 - 
14:00
lunch  lunch  lunch  lunch  lunch  lunch 
13:45 - Welcome (Erhard Rahm)
14:00 - 15:30

 

Problem
Definition

(GWZ Hörsaal)

Coding
Session

(GWZ Hörsaal)

Matthias Böhm
(IBM Research) 
Apache SystemML: Declarative Machine Learning for Low-Latency to Large-Scale Deployments

(Hörsaal 8)

Alessandro Margara
(Politecnico di Milano) 
Managing streams of data: lessons learned and open challenges

(Hörsaal 8)

Klaus-Robert Müller (TU Berlin)
Machine Learning and AI for the Sciences —Towards Understanding

(Hörsaal 8)

Tilmann Rabl (BBDC) & Sebastian Bress (DFKI)
Scaling Stream Processing Out and Up

(Hörsaal 8)

Closing

Coding Session

(GWZ Hörsaal)

Presentation
& Evaluation

(GWZ Hörsaal)

15:30 - 16:00  break break  break break   break  
16:00 - 17:30 

CodingSession

(GWZ Hörsaal)

HackathonClosing

(GWZ Hörsaal) 

András Benczúr (SZTAKI)
Learning from data streams: Theory and Practice 

(Hörsaal 8)
Wolfgang E. Nagel (TU Dresden)
Infrastructure for Big Data and Machine Learning

(Hörsaal 8)
Mikio Braun (Zalando SE)
tbd

(Hörsaal 8)

Sebastian Buschjäger (TU Dortmund)
Deep Learning for small devices and FPGAs

(Hörsaal 8)

 
Morris Riedel (FZ Jülich)

Parallel Machine Learning and Deep Learning driven by HPC

(Hörsaal 8)

Vesa Siivola
(Rovio Entertainment Ltd.)
Stream Processing at Rovio: Where we are now / Where we would like to be at 

(Hörsaal 8)
19:00 - ...    

City Walk Leipzig

Dragon Boating 

Dinner + Hackathon Award  Ceremony

- Bayerischer Bahnhof -

 

 


Registration

The places for the summer school and hackathon are limited - so early registration is highly recommended. The fee covers the attendance to all summer school & hackathon sessions, the social events (city walk, summer school dinner) as well as  lunches and coffee breaks.

There is a small contingent of discounted admissions (50% of the academic rate) for qualified master and bachelor students who are recommended by a professor.   Interested students or their professors should contact us to secure a place. 

 

Type of fee academia/university industry
Early Bird (until May 31st) 300 € 400 €
Regular Registration 400 € 600 €

 

For registration please follow the link.

 

Organizing Team

The summer school as well as the Hackathon are 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.

 

  • Prof. Dr. Erhard Rahm (ScaDS Dresden/Leipzig, Universität Leipzig)
  • Prof. Dr. Volker Markl (BBDC, Technische Universität Berlin)
  • Prof. Dr. Wolfgang E. Nagel (ScaDS Dresden/Leipzig, Technische Universität Dresden)
  • Dr. René Jäkel (ScaDS Dresden/Leipzig, Technische Universität Dresden)
  • Prof. Dr. Tilmann Rabl (BBDC, Technische Universität Berlin)
  • Dr. Eric Peukert (ScaDS Dresden/Leipzig, Universität Leipzig)
  • Karoline Kricke (ScaDS Dresden/Leipzig, Universität Leipzig)

 

Impressions

 


 Auerbachs Keller (Goethes Faust)

Auerbachs Keller (Goethes Faust)

 


Further events at the time