Pentaho

Data Management for Business Intelligence

Credits: 
2
Hours: 
20
Area: 
Big Data Technology
Description: 

The module presents technologies and systems for designing, populating and querying Data Warehouse for decision support. The emphasis is on technologies and analysis of application problems by using examples and case studies. The student will acquire knowledge and skills on major technologies for Business Intelligence such as ETL (Extract, Transform and Load), Data Warehousing, Analytics SQL, OLAP (Online Analytical Processing).

Data Management for Business Intelligence

Credits: 
2
Hours: 
20
Area: 
Big Data Technology
Academic Year: 
Description: 

The module shows technologies and systems for accessing, managing and analysing Big Data for decision support. Technologies and analysis of problems are shown using examples and case studies in lab. The student will acquire skills on the main technologies for business intelligence and big data management, including data warehouse and online analytical processing technologies.

Data Management for Business Intelligence

Credits: 
2
Hours: 
20
Area: 
Big Data Technology
Description: 

The module presents technologies and systems for designing, populating and querying Data Warehouse for decision support. The emphasis is on technologies and analysis of application problems by using examples and case studies. The student will acquire knowledge and skills on major technologies for Business Intelligence such as ETL (Extract, Transform and Load), Data Warehousing, Analytics SQL, OLAP (Online Analytical Processing).

Data Management for Business Intelligence

Credits: 
3
Hours: 
21
Area: 
Big Data Technology
Academic Year: 
Description: 

The module shows technologies and systems for accessing, managing and analysing Big Data for decision support. Technologies and analysis of problems are shown using examples and case studies in lab. The student will acquire skills on the main technologies for business intelligence and big data management, including data warehouse and online analytical processing technologies.

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