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

June 21-22, 2021

38th Global Summit on Nanoscience and Technology

Osaka, Japan
August 02-03, 2021

International Conference on Robotics

Zurich, Switzerland
August 02-03, 2021

International Congress on AI and Machine Learning

Zurich, Switzerland
September 21-22, 2021

Global Summit on Computer Science and data management

Sakai, Australia
November 10-11, 2021

International Conference on Artificial Intelligence & Robotics

Amsterdam, Netherlands
November 22-23, 2021

8th Global Meet on Wireless and Satellite Communications

Munich, Germany
December 06-07, 2021

2nd International Conference on Microfluidics

Rome, Italy
December 13-14, 2021

International Conference on Microfluidics & Bio-MEMS

Tokyo, Japan

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