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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.[2] 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.[3]
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.[4] 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.[5]
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."[6] Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on".[7] 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,[8] connectomics, complex physics simulations, biology, and environmental research.[9]
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.[10][11] The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s;[12] as of 2012, every day 2.5 exabytes (2.5×260 bytes) of data are generated.[13] 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.[14] According to IDC, global spending on big data and business analytics (BDA) solutions is estimated to reach $215.7 billion in 2021.[15][16] While Statista report, the global big data market is forecasted to grow to $103 billion by 2027.[17] 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.[18] 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.[18] And users of services enabled by personal-location data could capture $600 billion in consumer surplus.[18] One question for large enterprises is determining who should own big-data initiatives that affect the entire organization.[19]
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".[20] 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."[21]
Wales (Welsh: Cymru [ˈkəm.rɨ] (audio speaker iconlisten)) is a country that is part of the United Kingdom.[10] It is bordered by England to the east, the Irish Sea to the north and west, and the Bristol Channel to the south. It had a population in 2011 of 3,063,456 and has a total area of 20,779 km2 (8,023 sq mi). Wales has over 1,680 miles (2,700 km) of coastline and is largely mountainous with its higher peaks in the north and central areas, including Snowdon (Yr Wyddfa), its highest summit. The country lies within the north temperate zone and has a changeable, maritime climate.
Welsh national identity emerged among the Britons after the Roman withdrawal from Britain in the 5th century, and Wales is regarded as one of the modern Celtic nations. Llywelyn ap Gruffudd's death in 1282 marked the completion of Edward I of England's conquest of Wales, though Owain Glyndŵr briefly restored independence to Wales in the early 15th century. The whole of Wales was annexed by England and incorporated within the English legal system under the Laws in Wales Acts 1535 and 1542. Distinctive Welsh politics developed in the 19th century. Welsh Liberalism, exemplified in the early 20th century by David Lloyd George, was displaced by the growth of socialism and the Labour Party. Welsh national feeling grew over the century; a nationalist party, Plaid Cymru was formed in 1925, and the Welsh Language Society in 1962. Established under the Government of Wales Act 1998, the Senedd (the Welsh Parliament, formerly known as the National Assembly for Wales) is responsible for a range of devolved policy matters.
At the dawn of the Industrial Revolution, development of the mining and metallurgical industries transformed the country from an agricultural society into an industrial nation; the South Wales Coalfield's exploitation caused a rapid expansion of Wales' population. Two-thirds of the population live in South Wales, including the capital Cardiff along with Swansea, Newport and the nearby valleys. The eastern region of North Wales has about a sixth of the overall population with Wrexham being the largest northern town. The remaining parts of Wales are sparsely populated. Now that the country's traditional extractive and heavy industries have gone or are in decline, the economy is based on the public sector, light and service industries, and tourism. In livestock farming, including dairy farming, Wales is a net exporter, contributing towards national agricultural self-sufficiency.
Wales closely shares its political and social history with the rest of Great Britain, and a majority of the population in most areas speaks English as a first language, but the country has retained a distinct cultural identity. Both Welsh and English are official languages; over 560,000 Welsh-speakers live in Wales, and the language is spoken by a majority of the population in parts of the north and west. From the late 19th century onwards, Wales acquired its popular image as the "land of song", in part due to the eisteddfod tradition. At many international sporting events, such as the FIFA World Cup, Rugby World Cup and the Commonwealth Games, Wales has its own national team. At the Olympic Games, Welsh athletes compete for the UK as part of a Great Britain team. Rugby union is seen as a symbol of Welsh identity and an expression of national consciousness.
