In this section you will find EURA NOVA’s latest news and activities.
EURA NOVA is thrilled to share the news with you: we are organizing our second workshop collocated with the 2017 IEEE International Conference on Big Data. The workshop will take place in December in Boston, MA, USA.
Stream processing and real-time analytics have caught the interest of the industry lately. Many use cases are waiting for relevant and efficient solutions to be developed. Such use cases include event-driven marketing, dynamic network management & optimization, real-time recommendation, context-aware applications and real-time fraud detection.
After the success of the first edition, this is an excellent opportunity to bring together the industry and academics to discuss, to explore and to refine new opportunities and use cases in the area. The workshop will benefit both researchers and practitioners interested in the latest research in real-time and stream processing. The workshop will showcase prototypes and products leveraging big data technologies as well as models, efficient algorithms for scalable complex event processors and context detection engines, or new architecture leveraging stream processing.
Want to submit a paper? Check out the workshop website to find all the information you will need. Your paper will be reviewed by a prestigious panel of international experts from both the academic and the industrial worlds.
EURA NOVA is organizing their second workshop collocated with an international conference. This time, the workshop will be collocated with the 21th European Conference on Advances in Databases and Information Systems. It will take place in September in Cyprus and will bring together industrial and academic stakeholders to discuss, explore and refine new opportunities and use cases in the area of Graph Business Intelligence.
Want to be part of the fun? Check out the workshop website to find all the information you need to know and submit your paper. Our researchers Sabri Skhiri, Salim Jouili and Amine Ghrab cannot wait to read your papers and meet you in Nicosia.
Today and Wednesday (the 13rd and the 15th of March 2017), our R&D Director will be in Barcelona to give a course about Big Data Architectures.
The objective is to learn the basic concepts and details to take into account when designing a Big Data Architecture. The student will learn the impact of technical & functional constraints on the storage and processing choices. Going further the course will show, through industrial use cases, the raise of new architecture patterns. The course includes a practical part with hands-on session on distributed frameworks.
For more details, contact Oscar Romero ( firstname.lastname@example.org )
Want to host Sabri Skhiri for a course in your university? Contact email@example.com
On the 9th and 10th of May 2017, the R&D Director of EURA NOVA Sabri Skhiri will lecture on Big Data and Data Science at the Polytechnic School of Tunisia. The course will be hosted by the SERCOM laboratory.
After the launch of EURA NOVA Tunis last September, this course will be a new opportunity for us to bond a little more with Tunisians, especially students. Indeed, EURA NOVA offers programmes in collaboration with universities, such as boot camps, master thesis, research internships and PhDs, and engineering internships. We hope that this lecture will make Polytechnic students want to explore Data Science with us and join the pack!
Want to organise a lecture on Big Data and Data Science in your own university? Contact firstname.lastname@example.org and ask for ENX University offer.
Here is the detailed programme [in French]
Mardi 9 mai 2017: Architecture BIG DATA (partie 1)
Pause déjeuner : 12h30-14h
Après-midi : 14h-17h
Travaux pratiques : Préparation de données : Script Pig
Mercredi 10 mai 2017 : Architecture BIG DATA (partie 2)
Pause déjeuner : 12h30-14h
Après-midi : 14h-17h
Travaux pratiques sur Apache Spark/Flink
After launching our first bootcamp, we are organising our first workshop colocated with IEEE conference. The workshop will take place in December in Washington D.C. and will bring together industrial and academic stakeholders to discuss, explore and refine new opportunities and use cases in the area of stream processing and real-time analytics in big data.
Indeed, stream processing and real-time analytics have caught the interest of the industry lately. Many use cases are waiting for relevant and efficient solutions to be developed. Such use cases include event-driven marketing, dynamic network management & optimization, real-time recommendation, context-aware applications and real-time fraud detection.
The workshop will showcase prototypes or products leveraging big data technologies as well as models and efficient algorithms for scalable complex event processors and context detection engines. Here is a short list of research topics to inspire you :
Your paper will be reviewed by a panel of academic as well as industrial experts.
Find more information about program co-chairs and members on the workshop website and submit your paper to join the Euranovian pack!
Don’t miss the chance to be part of an IEEE conference and to see Washington under the snow.
Today, I wrote my first “Hello World” script using the freshly open-sourced version of TensorFlow with distributed GPU support. At the time of this writing, the binary releases of TensorFlow don’t come with the distributed GPU support therefore I had to build TensorFlow from sources. All the documentation to do this already exists but is a bit scattered on multiple websites. Here is a condensed version of the install process (on a Linux Ubuntu 14.04 platform).
The first edition of Flink Forward took place past October 12th and 13th in Berlin. Flink Forward is two-day conference exclusively dedicated to Apache Flink, the distributed pipelined batch and streaming processing framework. EURA NOVA was present among the speakers of the event (http://flink-forward.org/?session=stale-synchronous-parallel-iterations-on-flink).
Here is the talk we presented.
This year we had the opportunity to publish a paper, DISTRIBUTED FRANK-WOLFE UNDER PIPELINED STALE SYNCHRONOUS PARALLELISM, at the IEEE Big Data conference at Santa Clara, CA. This was an excellent opportunity to write a short summary on the trends in the big data area and our personal feelings after one week under the sun with Tacos and Enchiladas.