LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Research challenges of big data

Photo from archive.org

Big data is characterised by new characteristics such as 3Vs (Volume, Velocity, Variety), and/or 5Vs (Volume, Velocity, Variety, Veracity, and Value). Due to the distinguishing characteristics of big data, it… Click to show full abstract

Big data is characterised by new characteristics such as 3Vs (Volume, Velocity, Variety), and/or 5Vs (Volume, Velocity, Variety, Veracity, and Value). Due to the distinguishing characteristics of big data, it is commonly stored and processed using NoSQL (Not Only SQL) database systems. Big data has been utilised in various applications and services ranging from E-commerce through to social media to public sector and governmental organisations. The goal of this editorial note is to provide a concise summary of the big data characteristics, models, and technologies and to identify some of the crucial research challenges that are open for further research.

Keywords: research challenges; big data; research; challenges big

Journal Title: Service Oriented Computing and Applications
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.