Defining architecture components of the Big Data Ecosystem

By Y. Demchenko, Cees de Laat, Peter Membrey. International Conference on Collaboration Technologies and Systems, 2014

327 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/49958723525ee987d11e27cf169183b79b2c6ec5

Citations in the corpus

• Customer relationship management and big data enabled: Personalization & customization of services (2019, unknown): “It is known as 5 Vs model; volume, velocity, and variety, value, and veracity [19] (Fig.”
• Wearable Continuous Glucose Monitoring Sensors: A Revolution in Diabetes Treatment (2017, unknown): “In fact, among the “V” properties of big data [105], that indicated as veracity refers to the uncertain nature of data collected in large volumes with limited control of the quality.”
• Pattern graph tracking-based stock price prediction using big data (2018, unknown): “Summary for our contributions from big data point of view Since big data can be described using five Vs: Volume, Variety, Velocity, Veracity and Value, we explain our contributions by using five Vs in this paper [19, 25, 45].”
• Visualizing Big Data with augmented and virtual reality: challenges and research agenda (2015, unknown): “definition [33, 34] is used: Big Data is a technology to process high-volume, high-velocity, high-variety data or data-sets to extract intended data value and ensure high veracity of original data and obtained information that demand cost-effective, innovative forms of data and information processin”