One of the objectives of the LAMBDA project is organization of a Big Data Analytics Summer School in Belgrade in 2019 and 2020. The event brought together researchers and professionals from respectable EU Universities and companies and stakeholders from the West Balkan countries to discuss state-of-the-art in Big Data research and applications. The Big Data Analytics Summer School allowed the invited PhD students (participants of the School from Serbia and the Region) to learn about the newest technologies and trends in this and related fields.
The LAMBDA Research-Industry Forum is a one-day event that brings together researchers and professionals from respectable EU Universities and companies and stakeholders from the West Balkan countries to discuss state-of-the-art in Big Data research and applications. The Forum was organized together with the Big Data Analytics Summer School so that PhD students (participants of the School) have an opportunity to learn about the newest technologies and trends in this and related fields.
We're pleased to announce that the LAMBDA Plenary meeting was organized in Belgrade, Serbia at the Mihajlo Pupin Institute, on 17 June 2019.
We are glad to announce that the LAMBDA consortium met the Advisory Bord Members at the Belgrade Art Hotel on June 17, 2019. During the 3-day events (Big Data Analytics Summer School, 18-20.06.2019), the PUPIN staff and other giuests from West Balkan countries had opportunities to network with experts and internationally renowned Big data and semantic technologies professors.
Vadalog system, a Datalog-based system for performingcomplex logic reasoning tasks
Python is an interpreted, interactive, object-oriented programming language. It incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes. To find out more, start with The Python Tutorial. The Beginner’s Guide to Python links to other introductory tutorials and resources for learning Python.
SANSA is a big data processing engine for scalable processing of large-scale RDF data, please check SDA Web pages. SANSA uses Spark and Flink which offer fault-tolerant, highly available and scalable approaches to process massive sized datasets efficiently. SANSA provides the facilities for Semantic data representation, Querying, Inference, and Analytics.
SANSA-Stack’s core is a processing data flow engine that provides data distribution and fault tolerance for distributed computations over RDF large-scale datasets.