Call for Participation

The Frankfurt Big Data Lab is announcing 

Data Challenges WS 2016

(Winter Semester 2016/2017)

Course Description: Students will take part to two Data Challenges. One offered by Deutsche Bahn AG and one offered by ING-DiBaBank.

Eligibility: Bachelor Students, Master Students, and PhD students across multiple disciplines are encouraged to attend the kickoff and to sign up for one Data Challenge.

Students in Computer Science, Mathematics, Data Science, Information Systems, Business Computer Science, and others will form teams of 2 to explore the questions posed.  Team members are required to attend the kick-off lecture to sign-up for this project.

Course Registration:  You have to register for the Data Challenge WS 2016 in the form below. Registration is preferable in teams of 2 persons. Deadline for registration is Thursday, 20.10.2016.

Data Challenges:

• Deutsche Bahn Data Challenge: Mobility of the future (Download pdf)
• ING-DiBa Data Challenge: Future of Financial Data (Download pdf in English, Download pdf in German)

Among the teams that successfully complete both phases of the project, winners will be awarded a price:

• Deutsche Bahn Awards
• ING-DiBa Awards

To REGISTER: http://www.bigdata.uni-frankfurt.de/web-business-data-challenges-ws-2016/ 

From September 19th to September 22nd 2016, the DBgroup will hold a course on "Big Data Analytics" in collaboration with CINECA.

The instructors are:

• Prof.ssa Sonia Bergamaschi, dbgroup
• Givanni Simonini, dbgroup
• Song Zhu, dbgroup
• Giuseppe Fiameni, CINECA
• Roberta Turra, CINECA
• Giorgio Pedrazzi, CINECA
• Antonio Macaluso, CINECA

The course tackles the fundamental technologies to handle, and to extract value from, the so-called Big Data: Apache Hadoop/Spark, basic MapReduce programs, SQL on Spark, Machine Learning on Spark, and R language on Spark.

The main language for the course is Python. Although, experience in Python programming is not required to successfully complete the course.

Link to the detailed program: http://dbgroup.unimo.it/bigdata_settembre_2016

Job description:

• Python developer to maintain and extend the backend of Smartlis (a web-based Laboratory Information System)
• The candidate will give high-level support to upcoming projects and already running laboratories in 24/7 mission critical contexts

Skills:

• Knowledge and experience programming in Python/Django

• Knowledge of libraries used to connect to typical backend related systems: databases (Postgres, CouchDB, SQLServer), messaging queues (RabbitMQ...), web servers (Apache, Tomcat, NGINX), etc...

• Strong analytical and problem solving skills

• Experience in developing and/or supporting 24/7 mission critical applications

• Capacity for teamwork

• Willingness to ensure compliance with team directives and initiative to propose new ones

• Self-learning ability

• High level of English language

• Kindness

Optional Skills:

• Experience in C++/JavaScript/Java programming languages and their most used frameworks

• Knowledge of other backend technologies (Node, PHP, Ruby...)

• Frontend programming (HTML, CSS, JavaScript, ...)

• Management and maintenance of backend related systems: databases (SQL and NoSQL), search engines, messaging, web servers, etc...

• Understanding of clinical laboratory workflow

On Monday 18th July, prof. Laura Po is going to present Exploration, Visualization and Querying of Linked Open Data sources at the second Keystone Training School in Santiago de Compostela.

Here are the slides of the talks

Introduction to linked open data - morning session 

Exploration, visualization and querying of linked open data sources - afternoon hands-on session