Big Data Analytics

Module 1 - Architecture and Infrastructure:

  • Data structure
  • Data synchronization
  • Memory management

Module 2 - Analytics:

  • Data sources and categorization
  • Visual analytics
  • Data mining
  • Exploratory data analysis
  • Machine learning
  • Computational intelligence

Module 3 - applied programming:

  • Data analysis lifecycle
  • System components
  • Programming models in the area of big data
  • Common programming languages, environments and frameworks SQL, R, Java, Python
  • Application of specific programming models

Module 4 - Analysis of semi- and unstructured data:

  • Crawling and preprocessing
  • Text mining / web mining
  • Social media analysis
  • Taxonomies / ontologies
  • Modeling

Module 5 - Business Analytics application areas

  • Goals and areas of responsibility for big data applications
  • Sector and type of data sources
  • Specific fields of application and processes