In this section you will find EURA NOVA’s latest news and activities.
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.
As of each year since its foundation, EURA NOVA proposes Master thesis subjects and research internships, led in collaboration with academic institutions.
Today’s social environments are getting more interconnected and the business market is becoming increasingly open and competitive. Organisations require a better awareness of their state and an accurate prediction of their evolution. To cope with this surging demand, new models and tools need to be developed. In my opinion, graph models are of a crucial interest for addressing these challenges.
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. Here is our field report.
In the last year, we have worked with Benjamin Van Melle on implementing High Availability in RoQ, our proof-of-concept distributed pub-sub messaging system. As a consequence, we needed to expand our JUnit tests to cover individual component failure scenarios and prove they were handled as expected. This piece will show how we used Docker to achieve this.
The International Conference on Machine Learning is one of the most important annual event in the world of machine learning. The place is where the most renowned researchers in the field gather to present and share their -often diverging – vision and directions for the future. As such, the event is sponsored by most of the biggest companies in IT such as Google, Baidu and Facebook. It also attracts numerous smaller companies with particular interest in big data in its wake.
Similar to the previous years EURA NOVA R&D has been supervising Master students either for their internship or for their Master Thesis during the 2013-1014 academic year. This year, 5 students have had the opportunity to work in the fields of Machine Learning, GPU compute, distributed processing, metabolic pathways and social graphs. This blog post summarizes their breakthroughs.
To fully leverage Service Oriented Architecture (SOA), companies must go further than setting up an Enterprise Service Bus (ESB). This article describes the 3 main challenges lying behind SOA implementation : Governance, Service Lifecycle Management, & Profiling.
For meeting its strategic objectives, a company has to move from a situation A to a situation B. To achieve this move, it uses Projects as vehicles for performing Changes.
As you know, vehicles have specific purposes and therefore different sizes, styles, performance, costs, lifespan and sometimes also priorities.
As you also know, vehicles sometimes don’t arrive in destination B as initially foreseen: some may get out of fuel, others may use unexpected directions, or take more time than planned for arriving to destination. In worst cases, they may get damaged or even collide each others.
Let’s see how Projects Portfolio Management can select the right mix of vehicles, control them and increase success for vehicles to arrive all at the desired place, time & cost and without bad surprises.
The Chief Data officer Summit was held in San Francisco on May 22nd & 23rd 2014. EURA NOVA‘s attendance purpose was to assess companies’ current Big Data challenges and to define an efficient positioning strategy in this highly competitive market. The following article depicts companies’ current expectations regarding Big Data, the approach they adopted and the challenges they face.
EURA NOVA recently tested the usually praised Tesla cars (The Model S P85 in our case). While we were impressed by the engineering work behind such a vehicle, some of its aspects convinced us that the near 100k € price point can’t be justified, in particular on the Belgian market with its volatile fiscal rules. Flashback on a very fun testing session!
Event Based Marketing (EBM) that frequently is also referred to as Event Driven Marketing (EDM) or Trigger Based Marketing, is the discipline within marketing where commercial and communication activities are based upon these relevant and identified changes in a customer’s individual needs. It tends to identify key events in the customer’s life-cycle and trigger the most appropriate actions at the right time.
In our previous articles « why language choice doesn’t matter for your development project » and « why language choice does matter for your development project », we have taken absurdly strong positions in favor and against the selection of a specific development language for a given project.
This post points out the reasons that make choosing a language for a specific project relevant. Of course, you can find online articles that explain “Why language choice does not matter for your development project”. In the end, the choice is yours!
This post points out the reasons that make choosing a language for a specific project irrelevant. Of course, you can find online articles that explain “Why language choice does matter for your development project”. In the end, the choice is yours!
You got it, in this blog we are talking about CEP and Event Stream Processing (ESP). In recent years, we have seen a lot of interest in “context-aware” applications or, if you prefer, detecting in real-time interesting contexts. But, if you look at tech blogs or even at IT vendors you can sometimes see ESP, CEP or pattern matching engines for this kind of applications. So what? If I need to be able to react in Real-time to interesting situations (business wise) by processing Streams of Events which one should I use? Are they the same? If I do complex things when I process my event stream do I really do Complex Event Processing? Then, does it mean that I need a CEP ?” These are really interesting questions that I will try to answer in this post.
The GPU Technology Conference is one of those events where cutting-edge technology meets industrial players who are either see an opportunity to invest in the future trends or are able to match actual problems with the new abilities enabled by the technology. It is the place where the recent developments in the domain of GPU computing get presented, along with a showcase of all the challenges that the GPU technology has resolved so far. For a company such as EURA NOVA, this is the place where existing solutions meets new challenges that require innovation.
Data reuse in health care is a vast topic, one problematic being the anonymization of the data themselves. This is such a complex problem that it’s usually the one in the spotlights, but it is useful sometimes to remind ourselves why working out the data is needed. Let us imagine briefly that we have solved the matter and reflect only on the opportunities and solutions Big Data technologies bring.