Funded by "Spreading Excellence and Widening Participation" Work Programme 2016-2017, the LAMBDA (Learning, Applying, Multiplying Big Data Analytics) project aims the following goals:

This document contains details about learning material developed as one of the specific objectives of LAMBDA (Learning, Applying, Multiplying Big Data Analytics) project. The reporting period is (M1-M12). The project partners developed a series of learning material during this period which is made available for BDA school participants. The learning material will be presented as OpenCourseWare (OCW) on a shared platform. In this deliverable, we report about one of the fundamental topics of the BIG Data hype namely Enterprise Knowledge Graphs.

This document presents details of the dissemination and communication activities implemented for the reporting period (M1-M12). During this period, WP5 focused its efforts on developing and implementing the appropriate dissemination and communication strategies and activities that will result in the best and most effective promotion of the project in the local, regional areas as well as European and international level.

The LAMBDA Big Data Analytics Summer School was organized by the LAMBDA consortium partners Institute Mihajlo Pupin (PUPIN), Fraunhofer Institute for Intelligent Analysis and Information Systems (Fraunhofer/IAIS), Institute for Computer Science - University of Bonn (UBO) and Department of Computer Science - University of Oxford (UOXF). The event took place in Belgrade between June 17th and June 20th, 2019. Overall, more than 60 participants gathered at the PUPIN premises to exchange knowledge and expertise in Big Data technologies.