DanaC 2012 - EDBT/ICDT Workshop on Data ANAlytics in the Cloud(DanaC)

Data Analytics in the Cloud (DanaC)
Organizers: Tim Kraska (UC Berkeley, USA), Kostas Tzoumas (TU Berlin, Germany)
Steering committee: Michael J. Carey (UC Irvine, USA), Volker Markl (TU Berlin, Germany)

Due to the unpreceded data growth, a need for rich data analysis on petabyle-scale data is emerging. To support such analysis, new data-centric programmming paradigms and data management systems are being established, popularized by Google's MapReduce framework and its Hadoop open-source implementation. The new data analysis market raises several research challenges spanning the whole system stack, from storage and network technologies to programming languages.

At the same time, cloud computing is emerging as a cost-effective paradigm for massively scalable, fault-tolerant, and adaptive computation. Cloud computing architectures scale to massive numbers of commodity computers, and adapt to changing hardware availability and requirements by dynamically allocating virtualized computing nodes. Cloud computing systems often use a computational model motivated by functional programming, abstracting away the internals of computation. Both enterprise and client data are moving to the cloud for reasons including cost, reliability, and manageability. This migration poses significant challenges on current systems. The economy of scale provided by cloud computing provides opportunities for richer data analysis on even larger data sets. The new data analysis applications and the unprecedented scale is not adequately served by current offerings, including commercial DBMSs and analytics systems, and open-source cloud computing systems.

This workshop will provide a perfect forum to bring together researchers and practitioners interested in big data analytics, cloud computing, and their intersection. The workshop will help to foster future collaborations and the formation of a community that sets the ground of this emerging field.