This year’s topic:
Distributed Computing and Advanced Big Data
Nowadays, our society creates a huge amount of data (≈ 2.5 billion gigabytes per day). This data comes from different sources: sensors used to gather climate information, social media platforms, digital pictures and videos, transaction records, and cell phone GPS signals, etc. It is the era of big data. This enormous amount of data is a rich mine of information that should be exploited to extract valuable data and information for various applications. This distributed data requires distributed computing techniques to provide supports for these data to be analyzed to uncover hidden patterns, unknown correlations and other useful information that can be considered to make better decisions. This has increased the demand for qualified data scientists who master novel architectures and tools to extract meaning from massive volumes of data. In the same direction, Cloud computing offers a cost-effective way to support big data technologies and the advanced analytics applications that can drive business value. Cloud computing models can help accelerate the potential for scalable analytics solutions.
In its 9th edition, METIS’2017 will provide to its participants a solid background and a comprehensive view on the state-of-the-art and the current trends in the big data and distributed Computing areas. Lectures in METIS will offer introductory courses as well as courses on specific active research themes, given by world-leading researchers in the area. These courses will cover several important topics such as: The basics of Distributed Computing, Algebraic topologies and Distributed Computing, Managing Big Data in the Cloud and Machine Learning.
March 17, 2017
Early Registration Deadline
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