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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]
Ipswich (/ˈɪpswɪtʃ/ (About this soundlisten)) is a historic county town in Suffolk, England. The town is located in East Anglia about 10 miles away from the mouth of the River Orwell and the North Sea. Ipswich is both on the Great Eastern Main Line railway and the A12 road, it is 66 miles (106 km) north-east of London, 54 miles (89 km) east-southeast of Cambridge, and 45 miles (72 km) south of Norwich. Ipswich is surrounded by two Areas of Outstanding Natural Beauty (AONB); Suffolk Coast and Heaths and Dedham Vale.
Ipswich's modern name is derived from the medieval name Gippeswic, likely taken either from an Old Saxon personal name or from an earlier name given to the Orwell Estuary (although unrelated to the name of the River Gipping).[1][2] It has also been known as Gyppewicus and Yppswyche.[3] The town has been continuously occupied since the Saxon period,[3] and is contested to be one of the oldest towns in the United Kingdom.[4] Ipswich was a settlement of great economic importance to England throughout its history, particularly in trade.[5] The town's historical dock, present-day Ipswich Waterfront, was known as the largest and most important dock in the kingdom.[5][6]
Ipswich is a non-metropolitan district and is a large settlement despite its town status. The urban development of Ipswich overspills the borough boundaries significantly, with 75% of the town's population living within the borough at the time of the 2011 Census, when it was the fourth-largest urban area in the United Kingdom's East of England region, and the 42nd-largest urban area in England and Wales.[7] In 2011, the town of Ipswich was found to have a population of 133,384,[8][9] while the Ipswich built-up area is estimated to have a population of approximately 180,000 in 2011.[7]
The town is split into various quarters, with central and the waterfront drawing the most footfall.[10] Central is home to the town's retail shopping and the historical town square, the Cornhill. The waterfront is located south of the town centre on the bend of the River Orwell and is a picturesque setting housing the town's impressive marina. The waterfront was historically an industrial port but has since been transformed into a trendy area lined with high-rise apartment buildings, restaurants, bars and cafés. The waterfront is also home to one of the UK's newest universities, the University of Suffolk, which was formed in 2016.[11]
Ipswich has become a tourist hotspot in the UK with 3.5 million people reported to have visited the county town in 2016.[12] In 2020, Ipswich was ranked as an emerging global tourist destination by TripAdvisor.[13] Ipswich was voted as the 7th most desirable place to live and work in England by the Royal Mail in 2017.[14] In 2007, Ipswich was awarded the cleanest town award,[15] and in 2015, Ipswich was rated as the third happiest place to live in the UK.[16]
