A few weeks ago, while we were building our high performance computing grid over Graphical Process Unit (GPU), @Nam-Luc enunciated this sentence in order to spotlight one of the most crucial element in a project, whatever it is: the potential irreversibility of a tool choice.
This week I was with Amine and Gary at the 3rd European Business Intelligence Summer School organized in the beautiful Dagstuhl castle in Germany. I was present at the two previous editions, it is a great way to have a condensed overview of top-level research in BI. This year two aspects have caught my attention: (1) the ever increasing skills required to be a good “data worker” and (2) the everlasting ontology and semantic web power.
June was also a very prolific month for tech-related news: the E3, the WWDC where the brand new iOS and MacOS were presented along with an impressive new Mac Pro. Even Huawei chose this month the enter the crowed place of high-end smartphone manufacturers with its P6: “the world thinest smartphone” (so far).
Graphs are ubiquitous data structures commonly used to represent highly connected data. Many real-world applications, such as social and biological networks, are modeled as graphs. To answer the surge for graph data management, many graph database solutions were developed. These databases are commonly classified as NoSQL graph databases, and they provide better support for graph data management than their relational counterparts. However, each of these databases implement their own operational graph data model, which differ among the products. Further, there is no commonly agreed conceptual model for graph databases.
In this paper, we introduce a novel conceptual model for graph databases. The aim of our model is to provide analysts with a set of simple, welldefined, and adaptable conceptual components to perform rich analysis tasks. These components take into account the evolving aspect of the graph. Our model is analytics-oriented, flexible and incremental, enabling analysis over evolving graph data. The proposed model provides a typing mechanism for the underlying graph, and formally defines the minimal set of data structures and operators needed to analyze the graph.
Amine Ghrab, Sabri Skhiri, Salim Jouili, and Esteban Zimányi, An Analytics-Aware Conceptual Model For Evolving Graphs, proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery – DaWak 2013, Prague, Czech Republic, August 2013.
Click here to access the paper.
Currently EURA NOVA is leading two PhD thesis in collaboration with the CODE/WIT Lab of the Université Libre de Bruxelles. Both thesis are supervised by Professor Esteban Zimànyi from ULB and Sabri Skhiri from EURA NOVA.
The goal of my thesis is to build a multidimensional analysis framework on top of NoSQL data, and most importantly Graphs. Recently our paper entitled: An Analytics-Aware Conceptual Model For Evolving Graphs was accepted for presentation on the 15th International Conference on Data Warehousing and Knowledge Discovery – DaWaK 2013. The conference will be held in Prague, Czech Republic from 26 to 29 August 2013. DaWaK is a reference conference on data warehousing bringing together researcher working on BI related topics.
In this post, I’ll give an overview of the research and contributions of this paper.
As time goes by and information technologies infrastructures are built, historical decisions accumulate. This accumulation put constraints on architectural options for the future. In other words, the more history you have to manage, the less time you have to make your system progress. And time is money.
In the natural world, cross-pollination occurs when a bird or bee delivers one flower’s pollen to a different plant. In the same way, innovation occurs when people bring ideas from one place to another. By its special position within his clients’ organisation, EURA NOVA’s experts are in that way a factor of innovation by simply cross-pollinating EURA NOVA’s knowledge.
This month was a very interesting month for Tech related news. I would have loved to talk about the new Jolla’s phone and the ‘Other Half’, the XBOX ONE, Marissa Mayer’s Yahoo, BBC’s Perceptive Radio or even Google I/O.
But instead I will write about the rise of Instant Messaging Apps.
Two weeks ago I attended the 3rd International Conference on Cloud Computing and Services Science, CLOSER 2013 to present a poster about cloud computing services management. I’ve detailed the topic of the poster on my previous blog post available here.
The conference took place in Eurogress, Aachen. Actually, I had the chance to follow the other conferences held in conjunction with Closer:
Common questions heard around IT:
Is IT a science? an engineering domain? Is it a source of profit or a deep endless hole for money? What’s the map of job types in the domain?