BigDataFr recommends: An Extended classification and Comparison of NoSQL Big Data Models In last few years, the volume of the data has grown manyfold. The data storages have been inundated by various disparate potential data outlets, leading by social media such as Facebook, Twitter, etc. The existing data models are largely unable to illuminate the […]

BigDataFr recommends: Data-intensive HPC-opportunities and challenges Abstract Data-intensive computing and HPC are two different computing paradigms (data-centric versus compute-centric), targeting different application domains (mainly business data processing versus computational science). But with the advent of big data, the blending of these areas into data-intensive HPC offers new opportunities to solve bigger problems, as well as […]

BigDataFr recommends: Five principles for applying data science for social good Editor’s note: Jake Porway expanded on the ideas outlined in this piece in his Strata + Hadooop World NYC 2015 keynote address, « What does it take to apply data science for social good? » “We’re making the world a better place.” That line echoes from […]

BigDataFr recommends: Accelerating real-time analytics with Spark Integration of the data supply chain is key to a reliable and fast big data analytics deployment. Apache Hadoop is a mature development framework, which coupled with its large ecosystem, and support and contributions from key players such as Cloudera, Hortonworks, and Yahoo, provides organizations with many tools […]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-3/W5, 2015 ISPRS Geospatial Week 2015, 28 Sep – 03 Oct 2015, La Grande Motte, France BigDataFr recommends: QOS Management in Real-Time Spatial Using Big data Feedback Control Scheduling Commission II, WG II/4 Key words: Geographic Information System, Real-Time Spatial Big Data, Heterogeneous […]