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Big data in cloud
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Big data in cloud

pervasively invading industry and society, both drowning in information overload. [2] Big data can be described by the following properties: - Volume. Organizations collect data from a variety of sources, including business transactions, social media, and information from sensor or machine-to-machine data. In the past, storing it would’ve been a problem – but new technologies (such as Hadoop) have eased the burden. [3] - Velocity. Data streams in at an unprecedented speed and must be dealt with in a timely manner. RFID tags, sensors, and smart metering are driving the need to deal with torrents of data in near-real time. [3] - Variety. Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data, and financial transactions. [3]

Informaatika → Algoritmid ja andmestruktuurid
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