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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]
Dorset (/ˈdɔːrsɪt/; archaically: Dorsetshire) is a county in South West England on the English Channel coast. The ceremonial county comprises the unitary authority areas of Bournemouth, Christchurch and Poole and Dorset. Covering an area of 2,653 square kilometres (1,024 sq mi), Dorset borders Devon to the west, Somerset to the north-west, Wiltshire to the north-east, and Hampshire to the east. The county town is Dorchester which is in the south. After the reorganisation of local government in 1974, the county's border was extended eastward to incorporate the Hampshire towns of Bournemouth and Christchurch. Around half of the population lives in the South East Dorset conurbation, while the rest of the county is largely rural with a low population density.
The county has a long history of human settlement stretching back to the Neolithic era. The Romans conquered Dorset's indigenous Celtic tribe, and during the Early Middle Ages, the Saxons settled the area and made Dorset a shire in the 7th century. The first recorded Viking raid on the British Isles occurred in Dorset during the eighth century, and the Black Death entered England at Melcombe Regis in 1348. Dorset has seen much civil unrest: in the English Civil War, an uprising of vigilantes was crushed by Oliver Cromwell's forces in a pitched battle near Shaftesbury; the doomed Monmouth Rebellion began at Lyme Regis; and a group of farm labourers from Tolpuddle were instrumental in the formation of the trade union movement. During the Second World War, Dorset was heavily involved in the preparations for the invasion of Normandy, and the large harbours of Portland and Poole were two of the main embarkation points. The former was the sailing venue in the 2012 Summer Olympics, and both have clubs or hire venues for sailing, Cornish pilot gig rowing, sea kayaking and powerboating.
Dorset has a varied landscape featuring broad elevated chalk downs, steep limestone ridges and low-lying clay valleys. Over half the county is designated as an Area of Outstanding Natural Beauty. Three-quarters of its coastline is part of the Jurassic Coast Natural World Heritage Site due to its geological and palaeontologic significance. It features notable landforms such as Lulworth Cove, the Isle of Portland, Chesil Beach and Durdle Door. Agriculture was traditionally the major industry of Dorset but is now in decline and tourism has become increasingly important to the economy. There are no motorways in Dorset but a network of A roads cross the county and two railway main lines connect to London. Dorset has ports at Poole, Weymouth and Portland, and an international airport near Bournemouth. The county has a variety of museums, theatres and festivals, and is host to the Great Dorset Steam Fair, one of the biggest events of its kind in Europe. It is the birthplace of Thomas Hardy, who used the county as the principal setting of his novels, and William Barnes, whose poetry celebrates the ancient Dorset dialect.
