APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA

A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection

Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....

Geospatial Big Data: Challenges and Opportunities

Application of Big Data Analytics in Power Distribution Network

Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...

Towards Open Big Geospatial Data for geodata.gov.gr

Open data provided by the public sector constitute a significant opportunity for growth. PublicaMundi (http://publicamundi.eu) is an EU FP7-ICT project aiming to make open geospatial data easier to discover, reuse, and share by fully supporting their complete publishing lifecycle in open data catalogues. To achieve this, PublicaMundi extends and integrates leading open source software for open ...

Perspectives of Big Data Quality in Smart Service Ecosystems (Quality of Design and Quality of Conformance)

Despite the increasing importance of data and information quality, current research related to Big Data quality is still limited. It is particularly unknown how to apply previous data quality models to Big Data. In this paper we review Big Data quality research from several perspectives and apply a known quality model with its elements of conformance to specification and design in the context o...