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什么是大数据英文

Bigdatareferstothelargevolumeofstructuredandunstructureddatathatinundatesabusinessonaday-to-daybasis...

Big data refers to the large volume of structured and unstructured data that inundates a business on a daytoday basis. But it's not the amount of data that is important. It is what organizations do with the data that matters. Big data is used to describe data sets that are so large and complex that traditional data processing applications are inadequate to deal with them.

Organizations use big data to gain insights that lead to better decisions and strategic business moves. The term "big data" is often associated with three key characteristics:

  • Volume: Organizations collect data from a variety of sources, including business transactions, social media, and information from sensor or machinetomachine data. In the past, storing large amounts of data was a problem, but new technologies have made it much easier.
  • 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 nearreal time.
  • 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.
  • Big data can be analyzed for insights that lead to better decisions and strategic business moves. The collection and analysis of big data can provide numerous benefits to organizations, such as:

    • Identifying trends
    • Understanding customer preferences
    • Improving operational efficiency
    • Enhancing decisionmaking processes
    • Creating new products and services

    Overall, big data has the potential to revolutionize businesses across all industries. It is essential for organizations to harness the power of big data to stay competitive and relevant in today's datadriven world.