Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe big data is the one associated with large body of information that we could not comprehend when used only in smaller amounts.
Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Thus a fourth concept, veracity, refers to the quality or insightfulness of the data. Without sufficient investment in expertise for big data veracity, then the volume and variety of data can produce costs and risks that exceed an organization's capacity to create and capture value from big data.
Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from big data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on". Scientists, business executives, medical practitioners, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, healthcare analytics, geographic information systems, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology, and environmental research.
The size and number of available data sets have grown rapidly as data is collected by devices such as mobile devices, cheap and numerous information-sensing Internet of things devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 exabytes (2.5×260 bytes) of data are generated. Based on an IDC report prediction, the global data volume was predicted to grow exponentially from 4.4 zettabytes to 44 zettabytes between 2013 and 2020. By 2025, IDC predicts there will be 163 zettabytes of data. According to IDC, global spending on big data and business analytics (BDA) solutions is estimated to reach $215.7 billion in 2021. While Statista report, the global big data market is forecasted to grow to $103 billion by 2027. In 2011 McKinsey & Company reported, if US healthcare were to use big data creatively and effectively to drive efficiency and quality, the sector could create more than $300 billion in value every year. In the developed economies of Europe, government administrators could save more than €100 billion ($149 billion) in operational efficiency improvements alone by using big data. And users of services enabled by personal-location data could capture $600 billion in consumer surplus. One question for large enterprises is determining who should own big-data initiatives that affect the entire organization.
Relational database management systems and desktop statistical software packages used to visualize data often have difficulty processing and analyzing big data. The processing and analysis of big data may require "massively parallel software running on tens, hundreds, or even thousands of servers". What qualifies as "big data" varies depending on the capabilities of those analyzing it and their tools. Furthermore, expanding capabilities make big data a moving target. "For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration."
Nottingham (/ˈnɒtɪŋəm/ (About this soundlisten) NOT-ing-əm) is a city and unitary authority area in Nottinghamshire, England. Part of the East Midlands region, it is 128 miles (206 km) north of London and 45 miles (72 km) northeast of Birmingham. To the west lies Derby, separated by the M1 motorway.
Nottingham has links to the legend of Robin Hood and to the lace-making, bicycle (notably Raleigh bikes) and tobacco industries. It was granted its city charter in 1897, as part of Queen Victoria's Diamond Jubilee celebrations. Nottingham is a tourist destination; in 2018, the city received the second highest amount of overnight visitors in the Midlands and the highest amount in the East Midlands.
In 2017, Nottingham had an estimated population of 329,200. The population of the city proper, compared to its regional counterparts, has been attributed to its historical and tightly-drawn city boundaries. The wider conurbation, which includes many of the city's suburbs, has a population of 768,638. It is the largest urban area in the East Midlands and the second-largest in the Midlands. Its Functional Urban Area, also the largest in the East Midlands, has a population of 919,484. The population of the Nottingham/Derby metropolitan area is estimated to be 1,610,000.
Its metropolitan economy is the seventh largest in the United Kingdom with a GDP of $50.9bn (2014). The city was the first in the East Midlands to be ranked as a sufficiency-level world city by the Globalization and World Cities Research Network.
Nottingham's public transport system won awards prior to 2015, including the largest publicly owned bus network in England, and is also served by Nottingham railway station and the modern Nottingham Express Transit tram system.
It is also a major sporting centre and, in October 2015, was named 'Home of English Sport'. The National Ice Centre, Holme Pierrepont National Watersports Centre and Trent Bridge international cricket ground are all based in or around the city, which is also the home of two professional football teams; the former world's oldest professional league club Notts County and Nottingham Forest, famously two-time winners of the UEFA European Cup under Brian Clough and Peter Taylor in 1979 and 1980. The city also has professional rugby, ice hockey and cricket teams, and the Aegon Nottingham Open, an international tennis tournament on the ATP and WTA tours. This accolade came just over a year after Nottingham was named as the UK's first City of Football.
On 11 December 2015, Nottingham was named a "City of Literature" by UNESCO, joining Dublin, Edinburgh, Melbourne and Prague as one of only a handful in the world. The title reflects Nottingham's literary heritage, with Lord Byron, D. H. Lawrence and Alan Sillitoe having links to the city, as well as a contemporary literary community, a publishing industry and a poetry scene.
The city is served by three universities: the University of Nottingham, Nottingham Trent University and the University of Law; hosting the highest concentration of higher education providers in the East Midlands.