From 11th to 15th of July 2016 the Big Data Center of Excellence (ScaDS Dresden/Leipzig) is excited to host its first summer school for Big Data in Leipzig. The attractive program aims at students and young graduates, as well as other academic and industrial practitioners and researchers that operate in the field of Big Data. We offer an inspiring mix of motivating keynotes, online trainings, classes and excursions. The summer school teaches the basics of working with large and complex amounts of data and provides an overview of relevant approaches and solutions. Thus, the participants can gain an insight into current research areas and acquire basic practical Big Data skills. Furthermore, there will be plenty of opportunities to exchange ideas and to discuss the topics with other participants and speakers. The talks and keynotes in the morning will be held in English. For the practical sessions in the afternoon good English and java programming skills are required. The number of participants is limited so that we will select interested participants based on their provided information about motivation, prior knowledge and interests.
Be invited to dive into Big Data and the vibrant city of Leipzig with its amazing new Lakes Land and its cultural tradition.
Many thanks to the photgrapher: „Falk Lehmann/COMANDO“
Important Dates
Date: 11th – 15th of July 2016
Place: Leipzig University (Augustusplatz), Germany
Accommodation: There are plenty of affordable hotels in the city center (i.e. Motel One, Aparion, HotelBnB)
How to get to Leipzig and the Leipzig University (and ticket options for the public transport): Directions
Summer School 2016 FAQ
Topics
- Big Data Storage/ NoSQL
- Distributed Data Processing (HPC/MapReduce/Streaming/Spark/Flink)
- Graph Analytics/Management
- Big Data Integration
Extensive training of acquired knowledge within supervised hands-on sessions from three domains (Text, Bio, Finance)
Slides
Please find the slides of the talks here (use provided login and password from Summerschool Booklet). Some of them will be added towards the end of the school.
Program
| Time | Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|---|
| Topic | "Big Data Storage/ NoSQL" | "Distributed Data Processing" | "Graph Analytics" | "Big Data Integration" | |
| 09:00 - 09:50 | Prof. Dr. Stefan Edlich - NoSQL: State of the Art & New Developments | Prof. Dr. Kai-Uwe Sattler - Big Data Stream-processing | Prof. Dennis Shasha - Finding Motifs in Colored Graphs | Prof. Peter Christen - Privacy-Preserving Record Linkage | |
| 09:50 - 10:40 | Prof. Dr. Andreas Thor - NewSQL, SQL on Hadoop | Dr. Tilmann Rabl - Distributed Data Processing and Streaming in Flink | Vasia Kalavri - Graph processing on Apache Flink with the Gelly framework | Prof. Themis Palpanas - Blocking for Big Data Integration | |
| break | break | break | break | ||
| 11:10 - 12:00 |
Registration open |
Dr. Anika Groß - NoSQL- Datastores for Big Data | Nico Hoffmann - Introduction to Big Data Analytics on HPC clusters | Martin Junghanns - Graph Analytics with Gradoop | Dr. Maik Thiele - Building the Dresden Web Table Corpus and Beyond |
| Lunch | Lunch | Lunch | Lunch | ||
| 13:00 - 13:50 |
Welcome 13:20 Prof. Dr. Erhard Rahm - Big Data Integration |
System Introduction (MongoDB) |
System Introduction (Apache Flink) |
Prof. Sören Auer - (Big) Knowledge Graphs |
|
| 13:50 - 14:20 | Prof. Dr. Erhard Rahm - Big Data Integration |
Practical Courses |
Practical Courses |
System Introduction (Flink Gelly) |
|
| 14:20 - 15:10 | Prof. Dr. Peter Boncz - Benchmarking Graph Data Analysis with LDBC | Practical Courses (cont.) A, B, C |
Practical Courses (cont.) A, B, C |
Practical Courses (cont.) A, B, C |
|
| 15:10 - 15:40 |
break |
break | break | break | |
| 15:40 - 16:30 | Dr. Sherif Sakr - Big Data 2.0 Processing Engines | Practical Courses (cont.) A, B, C |
Practical Courses (cont.) A, B, C |
Practical Courses (cont.) A, B, C |
|
| 18:00 - 19:30 Guided Sightseeing Tour |
18:00 - 22:00 Water Sport & Barbecue |
19:00 - 23:00 Summer School Dinner - Bayerischer Bahnhof - |
Online Courses for preparation
Within the practical sessions of the Summerschool we assume that participants already know about Map Reduce and its basic primitives.
Here you can find an online course that teaches the basics of "Map Reduce" and "Load-Balancing". We kindly thank Prof. Dr. Andreas Thor from the HFTL for preparing the video sessions!
Intended audience
- Graduate and PHD students
- Industrial/Academic practioners & researchers
Prerequisites, Registration
The number of participants is limited so that we will select interested participants based on their provided information about motivation, prior knowledge and interests. In particular, participants need to have good Java programming skills (for hands-on sessions) and good English skills.
Due to the high number of registrations, we would like to ask participants to bring an own laptop for the practical sessions.
Please register via E-Mail to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!. The ScaDS summer school 2016 is fully booked, the registration is closed.
Organizing Team
- Eric Peukert - Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
- Lars-Peter Meyer - Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
- Jochen Tiepmar - Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
- Norman Spangenberg - Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
- Fabian Externbrink - Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
- Dirk Zeckzer - Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
- Lisa Winkler
The summer school is organized by ScaDS Dresden/Leipzig in cooperation with the Institute for Applied Informatics (InfAI) e.V. at the Leipzig University.
Impressions
Augustusplatz Leipzig
Auerbachs Keller (Goethes Faust)
