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

September 25-26, 2019

6th International Conference and Expo on Computer Graphics & Animation

| Toronto | Ontario | Canada
October 23-24, 2019

11th Euro Biosensors & Bioelectronics Congress

Rome, Italy
October 24-25, 2019

6th World Machine Learning and Deep Learning Congress

Helsinki, Finland
October 25-26, 2019

12th International Conference & Exhibition on Biosensors & Bioelectronics

| Vancouver | British Columbia | Canada
December 2-3, 2019

Global Animation and Multimedia Conference

Manila, Philippines
February 24-25, 2020

10th World Congress on Biosensors and Bioelectronics

Zurich, Switzerland
May 11-12, 2020

Industrial Engineering 2020

Frankfurt, Germany

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