Big Data Info Days in Luxembourg

On 15 January, the European Commission organised an information and networking day focusing on the Big Data Innovation-related objectives of the Horizon 2020 Work Programme for 2014-2015. The first ICT call for H2020 opened 11 December and closes the 23 April.

The event gathered more than 400 participants with the aim to share information and present ideas on the objectives:

Neelie Kroes on the need for a European Public Partner Partnership on Big Data Value

Big Data as a growth opportunity for the European economy and society was emphasized in a speech of Ms. Neelie Kroes, Commissioner for the Digital Agenda given in November 2013 during the ICT conference in Vilnius. In her speech, she stressed that policy makers should support this process in several ways and called for a European Public Partner Partnership.

Data Scientists – The Sexiest Job of the 21st Century?

  • Posted on: 14 April 2014
  • By: Admin

Data scientists are often considered to be wizards that deliver value from big data. These wizards need to have knowledge in three very distinct subject areas, namely, scalable data management (e.g., data warehousing, Hadoop, parallel processing, query processing, SQL, and storage & resource management), data analysis (e.g., advanced statistics, linear algebra, optimization, machine learning, and mathematics) and domain area expertise (e.g., engineering, logistics, medicine, or physics).

Data as the New Oil – Ecosystems and Political Meaning

  • Posted on: 4 April 2014
  • By: Admin

In this blog post, I will discuss some economic, societal, and legal issues concerning big data. One often hears that ”data is the new oil.” Like oil, data is a complex product derived from numerous processing and refinement steps and an entire economic ecosystem involving drilling stations, refineries and distribution networks, which include filling/gas stations. Similarly, one can draw an analogy for the big data realm.

The Five Dimensions of Big Data

  • Posted on: 28 March 2014
  • By: Admin

Today, analysts seek to derive insight from large, heterogeneous, high-velocity (i.e., big) data sets using varying data analysis methods. These data sets are ubiquitous. They arise due to burgeoning cloud computing services, the anticipated Internet of Services (IoS), and the emerging Internet of Things (IoT). Big data is often defined as any data set that cannot be handled using today’s widely available mainstream solutions, techniques, and technologies.

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