Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be situated in the disciplinary area of traditional geospatial data handling theory and methods. The increasing volume and varying format of collected geospatial big data presents challenges in storing, managing, processi...

ion levels of requirements 1 31 1 RET for big data Big data for RET (e.g. A/B testing) 6 2 RET for quality requirements Quality requirements and how to handle test 1 3 3 Testing non-functional requirements 1 8 2 co-evolution of quality reqts and tests Processes and practices for supporting RET 8 2 Test-driven requirements engineering Big data for RET (e.g. A/B testing) 6 2 Tool support for RET ...

IT is with great excitement that we are publishing the first issue of the IEEE Transactions on Big Data. Big data has been an important topic for the IEEE for many years and big data is already transforming our world. Now is the time to publish a high quality, peer reviewed, multi-disciplinary journal that will document research that will help us navigate the opportunities and potential pitfall...

Once a year, the NWO cluster Stochastics – Theoretical and Applied Research (STAR) organises a STAR Outreach Day, a one-day event around a theme that is of a broad interest to the stochastics community in the Netherlands. The last Outreach Day took place at Eurandom on 12 December 2014. The theme of the day was ‘Networks & Big Data’. The topic is very timely. The Vision document 2025 of the Pla...

There has been a “Cambrian explosion” of big data systems proposed and evaluated in the last eight years, but relatively little understanding of how these systems or the ideas they represent compare and complement one another. In enterprise and science situations, “one size is unlikely to fit all”: we see analytics teams running multiple systems simultaneously. However, the highest level of abs...

Big data poses new challenges to query answering, from computational complexity theory to query evaluation techniques. Several questions arise. What query classes can be considered tractable in the context of big data? How can we make query answering feasible on big data? What should we do about the quality of the data, the other side of big data? This paper aims to provide an overview of recen...