Further Reading and Resources:
- Laney, D.(2001) 3D Data Management: Controlling Data Volume, Velocity, and Variety. Meta Group.
- De Mauro, A., Greco, M. and Grimaldi, M. (2016) A formal definition of Big Data based on its essential features. Libr. Rev., 65, 122–135.
- Fang, H. (2015) Managing Data Lakes in Big Data Era: What’s a Data Lake and Why Has It Became Popular in Data Management Ecosystem.
- Marinescu, D.C. (2018) Cloud Computing: Theory and Practice.
- Haseeb, A. and Pattun, G. (2017) A review on NoSQL: applications and challenges.
- Sánchez, J.M. (2018) In-Memory Analytics. In Mehdi Khosrow-Pour, D.B.A. (ed.) Encyclopedia of Information Science and Technology (4th edn), pp. pp. 1806–1813. IGI Global.
The government collects huge volumes of data (increasingly published as open data) and thus has major opportunities for so-called big data (analytics). In general, big data provides the opportunity of examining large and varied data sets to uncover hidden patterns, unknown correlations, customer preferences, etc. Big data encompass a mix of structured, semi-structured and unstructured data gathered formally through interactions with citizens, social media content, text from citizens’ emails and survey responses, phone call data and records, data captured by sensors connected to the Internet-of-things and so on. The notion of ‘big data’ is evolving; the variety of data being generated by organizations and the velocity at which that data is being created and updated; referred to as the 3Vs of big data. Alternative descriptions of big data add other features such as veracity, value, complexity and unstructuredness.
Big data encompasses a number of associated technologies:
Big data lakes—a ‘data lake’ is a storage repository that holds a vast amount of raw data in its native format until it is needed.
Cloud computing—the practice of using a network of remote servers hosted on the Internet to store, manage and process data, rather than a local server or a personal computer.
Unstructured data & NoSQL databases—refers to information that either does not have a pre-defined data model or is not organized in a pre-defined manner; a NoSQL database is a mechanism for storage and retrieval of data which is modelled in means other than the tabular relations used in relational databases.
Hadoop—an open source, Java-based programming framework that supports the processing and storage of extremely large data sets in a distributed computing environment.
In-memory analytics—the queries and data reside in the server’s random access memory (RAM), so increasing the speed, performance and reliability.
Related Papers and Publications
Algorithmic Government - The Computer Journal
Next GovTechLab Event
Hiring: Research Assistant/Research Fellow in Data Science for Governance and Public Policy We are interested in building a collaborative team to lead research in this emerging field whilst also supporting the coordination and management of our two main projects –...read more
Translating Algorithm Ethics into Engineering Practice (UCL Digital Ethics Forum). The Digital Ethics Forum held its fifth workshop at the UCL Centre for Artificial Intelligence (4th February). Titled Translating Algorithm Ethics into Engineering Practice, the...read more
Workshop on “Location Data Technologies and Their Societal Implications” held at UCL (Jan 10th 2020).
Location Data Technologies and Their Societal Implications - UCL Digital Ethics Forum The third in the series of UCL Digital Ethics Forum Workshops was held in the Institute of Education (UCL), January 10th. Hosted by, Mirco Musolesi (UCL Geography) and Didem Ozkul...read more