HPCC Systems offers free introductory online training classes for anyone wanting to learn the basics of the ECL programming language and the open source HPCC Systems platform. Included in the training are self-paced lessons, lab exercises and a moderated Q&A forum to increase proficiency for solving Big Data problems. HPCC Systems training advances SDG 4 Quality education and SDG 9.B to support domestic technology development, research and innovation in developing countries.
The HPCC Systems Team collaborates with multiple higher learning institutions globally to help train and develop the future managers of Big Data projects. Participating institutions receive free training classes and materials to learn the platform and help incorporate it into their curriculum. Students benefit from learning and working with a platform that was designed from the ground up by industry leader, LexisNexis. This programme advances SDG 4 Quality education and SDG 9.B to support domestic technology development, research and innovation in developing countries.
Born from the deep data analysis experience of LexisNexis Risk Solutions, HPCC Systems is a proven, open source solution for Big Data insights that can be implemented by businesses of all sizes. With HPCC Systems, developers can design applications with Big Data at their core, enabling businesses to better analyze and understand data at scale. HPCC Systems offers a consistent data-centric programming language, two processing platforms and a single, complete end-to-end architecture for efficient processing. Access to open source Big Data technology is vital for SDG 4 Quality education and SDG 9 Industry, innovation and infrastructure.
, Transportation Research Part C: Emerging Technologies, Volume 72, 1 November 2016
Automated vehicles represent a technology that promises to increase mobility for many groups, including the senior population (those over age 65) but also for non-drivers and people with medical condi
Press release November 1, 2016
Network organization Amsterdam Data Science (ADS) and Elsevier are collaborating together on several fronts, including research and development, joint promotion of Amsterdam as a data science center, and data science talent development. This partnership marks the first long-term collaboration agreement signed by ADS and is interetsed in advancing SDG 9 targets 5, B and C. A number of projects have already started. These are focused on improving data search and reproducibility of research that will ultimately result in higher quality research outcomes.
, Geoforum, Volume 75, 1 October 2016
, Sustainable Materials and Technologies, Volume 9, 1 September 2016
6 September 2017
The groundbreaking Hands Free Hectare project has just seen its first harvest. This £200,000 Innovation UK-funded project by Harper Adams University with Precision Decisions has modified existing machinery to drill, sow, spray and harvest the crop without any human control. The project aims to show how automation can facilitate a sustainable farming system where multiple smaller, lighter machines will enter the field, minimising the level of compaction (SDG 15, life on land and SDG 9, industry, innovation and infrastructure).
, Sustainable Cities and Society, Volume 25, 1 August 2016
The rapidly growing and gigantic body of stored data in the building field, coupled with the need for data analysis, has generated an urgent need for powerful tools that can extract hidden but useful
Energy Procedia, Volume 93, August 2016, Pages 113-119
Access to clean and stable energy is a major challenge for many developing African countries. This research aims to investigate ways in which financing renewable energy projects (REPs) can help to address this problem and therefore SDG7. The authors propose the promotion of the two-hand renewable energy service company (ESCO) model as an efficient financial vehicle for increasing sustainable economic development through the production of reliable and stable electricity in semi-urban and rural communities.