Prof. Sonia Bergamaschi is visiting the Big Data Lab of the CS departement Johann Wolfgang Goethe-Universitat di FrankfurtWritten by Giovanni Simonini
Prof. Sonia Bergamaschi is visiting the Big Data Lab (headed by prof. Roberto Zicari) of the CS departement Johann Wolfgang Goethe-Universitat di Frankfurt the 22nd and 23rd of February 2017.
Prof. Sonia Bergamaschi is the expert reviewer for the quality of Finnish reasearch in Computer Science. Helsinki, 16th February 2017.
Prof. Sonia Bergamaschi is going to present Big Data activities of the CINI consortium, Tuestday at BigDat 2017.
Ideal candidate would have practical experience with various databases, data analysis, and big data techniques and packages. The person should be self-starter and should be able to work with various open source tools.
- At least 2 years of experiences in developing user interfaces and dynamic web applications
o SSO, LDAP tools or open sources
o XTHML, HTML5, CSS/CSS3, and AJAX
- Experiences in big data stack – Hadoop, NoSQL, RDBMS
- Experiences in automated build, deploy, testing and virtualization tools (Docker, Jenkins, Maven)
- Knowledge with Google Map APIs
- Knowledge in Spark, Neo4j, MongoDB, Impala/Hive, Hbase
- Knowledge in machine learning tools such as R, Python packages, and Spark MLlib
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Sonia Bergamaschi partecipa al Forum Big data per l’industria bancaria e finanziaria a Roma il 25 e 26 Ottobre 2016Written by Song
La prof. Sonia Bergamaschi parteciperà alla giuria del Techgarage, che si terrà il prossimo 20 ottobre a Reggio Emilia, presso l’Aula Magna Manodori.
Techgarage è L’evento finale della business plan competition regionale, START CUP Emilia-Romagna 2016.
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.
- 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:
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
- 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
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
High level of English language
Knowledge of other backend technologies (Node, PHP, Ruby...)
Management and maintenance of backend related systems: databases (SQL and NoSQL), search engines, messaging, web servers, etc...
Understanding of clinical laboratory workflow
Today Laura Po is going to present Exploration, Visualization and Querying of Linked Open Data sources at Keystone Training School in Santiago de CompostelaWritten by Laura Po
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