This deliverable aims to present the Action plan for scientific excellence and innovation capacity building of the PUPIN Institute in the Big Data domain for the following two years (2019-2020).

Deliverable 2.2 is one of the key LAMBDA deliverables setting up a plan of Education, Research and Development activities for the LAMBDA consortium until the end of the project. It is based on the analysis of Big Data tools and research trends (see Deliverable 2.1), analysis of synergies and complementarities between the research and training expertise of the individual partners of the LAMBDA consortium (see Deliverable 2.3) and the needs of the main beneficiary (Institute Mihajlo Pupin) and other stakeholders from the region. 

In the context of WP2 (Exploiting Synergies and Setting the Twinning Initiative) Task 2.2 (SWOT analysis), an action was taken at the beginning of the project with the aim to identify strategic improvement opportunities for the Mihajlo Pupin Institute (PUPIN) as a main beneficiary of the LAMBDA project.

The SWOT methodology is based on four steps:

This deliverable entitled “Big Data Challenges and Analysis of Scientific and Technological Landscape” gives an overview of the Big Data concepts, outlines some of the relevant challenges in this domain and reviews and describes the current state of the art tools relevant to Big Data applications.