Big data analytics

Artificial Intelligence (AI), mobile, social and Internet of Things (IoT) are driving information complexness, new forms and sources of knowledge. Big Data analytics is that the use of advanced analytic techniques against terribly giant, numerous information sets that embrace structured, semi-structured and unstructured information, from totally different sources, and in several sizes from terabytes to zettabytes. Analyzing huge information permits analysts, researchers, and business users to create higher and quicker selections victimization information that was antecedently inaccessible or unusable. Victimization advanced analytics techniques like text analytics, machine learning, prognostic analytics, data processing, statistics, and language process, businesses will analyze antecedently untapped information sources freelance or at the side of their existing enterprise information to realize new insights leading to higher and quicker selections.

  • Apache
  • Scala
  • Spark

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