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Data lakes and big data analytics

'Big Data' consists of high-volume, high-velocity and high-variety information assets that require efficient forms of information processing to support insight and decision making.

Some examples of Big Data information sources include:

  • Shopping information from an e-commerce environment

  • Website analytics

  • Social media analytics

  • IoT sensors in cars, domestic appliances, industrial machinery, healthcare etc

  • Scientific datasets

What complicates the task for companies is not the data itself but the management of metadata which adds information and permits a more sophisticated approach to analytics, thus making the data itself a more valuable asset. Properly tagged data is searchable and becomes meaningful and actionable content.