Intelligent Big Data Analytics

Objectives

It is intended to achieve the following learning outcome:

  • Define the main concepts related to business intelligence systems.
  • Select appropriate methodologies for ETL processes and apply available software to solve real data analysis and decision making problems.
  • Understand multidimensional data modeling techniques.
  • Evaluate software applications in the previous areas.
  • Analyze the results of Analytical Processing tools and indicator monitoring, reporting and dashboarding.
  • Study optimization techniques.
  • Be able to use business intelligence platform.

Program

Business Intelligence Models, Techniques, and Technologies ETL process Functional Structure of Multidimensional Databases Data Analysis with OLAP Tools Modeling Tools Analytical Processing Systems Algorithms and data structures for analytical data processing Dynamic cube optimization and restructuring Intelligent Decision Support Systems Indicator monitoring, reporting and dashboarding Business Intelligence Pltaforms Views

Bibliography

Harisson G., Next Generation Databases: NoSQL and Big Data, Apress, 2015. Mullins, C., Database Administration: The Complete Guide to Practices and Procedures, Addison Wesley Pub, 2002.

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