Big data analytics

Artificial Intelligence (AI), mobile, social and Internet of Things (IoT) are driving data complexity, new forms and sources of data. Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. Analyzing big data allows analysts, researchers, and business users to make better and faster decisions using data that was previously inaccessible or unusable. Using advanced analytics techniques such as text analytics, machine learning, predictive analytics, data mining, statistics, and natural language processing, businesses can analyze previously untapped data sources independent or together with their existing enterprise data to gain new insights resulting in better and faster decisions.

  • Big data Hadoop
  • Apache
  • Scala
  • Spark

Related Conference of Big data analytics

November 09-10, 2020

2nd World Congress on Robotics and Automation

Amsterdam, Netherlands
November 19-20, 2020

World Microfluidics Congress

Berlin, Germany
December 10-11, 2020

2nd International Conference on Wireless Technology

Abu Dhabi, UAE
February 22-23, 2021

8th Global Meet on Wireless and Satellite Communications

Munich, Germany
March 15-16, 2021

International Summit on  Industrial Engineering

Munich, Germany
December 06-07, 2021

2nd International Conference on Microfluidics

Rome, Italy

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