Curriculum
Programme
- Infrastructures and programming paradigms for big data- The Hadoop Ecosystem
- Cloud computing
- Big data processing (MapReduce, Hive, Spark)
- NoSQL systems
- Big data analytics
- Data lakes
- Systems and applications
- Business seminars
Core Documentation
Martin J. Fowler, PramodkumarJ. Sadalage. "NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence".Teacher slides (available on the Web side of the course)
Type of delivery of the course
The teaching methods and the supporting tools that will be used to achieve the expected learning outcomes are the following: - frontal lessons - practical exercises - seminars - laboratories - teamwork - analysis of real case studiesType of evaluation
The final evaluation is based on the development of some projects and on a written test lasting 1 hour. - The projects are carried out in groups and consist of both solving problems assigned by the teacher and carrying out activities agreed with the teacher. - The written test is organized through exercises aimed at verifying the level of effective understanding of the concepts and the students' ability to apply them in real contexts. The tests assigned in previous years are available on the course website.Mutuazione: 20802125 BIG DATA in Ingegneria informatica LM-32 N0 TORLONE RICCARDO, gregori luca
Programme
- Infrastructures and programming paradigms for big data- The Hadoop Ecosystem
- Cloud computing
- Big data processing (MapReduce, Hive, Spark)
- NoSQL systems
- Big data analytics
- Data lakes
- Systems and applications
- Business seminars
Core Documentation
Martin J. Fowler, PramodkumarJ. Sadalage. "NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence".Teacher slides (available on the Web side of the course)
Type of delivery of the course
The teaching methods and the supporting tools that will be used to achieve the expected learning outcomes are the following: - frontal lessons - practical exercises - seminars - laboratories - teamwork - analysis of real case studiesType of evaluation
The final evaluation is based on the development of some projects and on a written test lasting 1 hour. - The projects are carried out in groups and consist of both solving problems assigned by the teacher and carrying out activities agreed with the teacher. - The written test is organized through exercises aimed at verifying the level of effective understanding of the concepts and the students' ability to apply them in real contexts. The tests assigned in previous years are available on the course website.Mutuazione: 20802125 BIG DATA in Ingegneria informatica LM-32 N0 TORLONE RICCARDO, gregori luca
Mutuazione: 20802125 BIG DATA in Ingegneria informatica LM-32 N0 TORLONE RICCARDO, gregori luca
Programme
- Infrastructures and programming paradigms for big data- The Hadoop Ecosystem
- Cloud computing
- Big data processing (MapReduce, Hive, Spark)
- NoSQL systems
- Big data analytics
- Data lakes
- Systems and applications
- Business seminars
Core Documentation
Martin J. Fowler, PramodkumarJ. Sadalage. "NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence".Teacher slides (available on the Web side of the course)
Type of delivery of the course
The teaching methods and the supporting tools that will be used to achieve the expected learning outcomes are the following: - frontal lessons - practical exercises - seminars - laboratories - teamwork - analysis of real case studiesType of evaluation
The final evaluation is based on the development of some projects and on a written test lasting 1 hour. - The projects are carried out in groups and consist of both solving problems assigned by the teacher and carrying out activities agreed with the teacher. - The written test is organized through exercises aimed at verifying the level of effective understanding of the concepts and the students' ability to apply them in real contexts. The tests assigned in previous years are available on the course website.Mutuazione: 20802125 BIG DATA in Ingegneria informatica LM-32 N0 TORLONE RICCARDO, gregori luca
Mutuazione: 20802125 BIG DATA in Ingegneria informatica LM-32 N0 TORLONE RICCARDO, gregori luca
Programme
- Infrastructures and programming paradigms for big data- The Hadoop Ecosystem
- Cloud computing
- Big data processing (MapReduce, Hive, Spark)
- NoSQL systems
- Big data analytics
- Data lakes
- Systems and applications
- Business seminars
Core Documentation
Martin J. Fowler, PramodkumarJ. Sadalage. "NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence".Teacher slides (available on the Web side of the course)
Type of delivery of the course
The teaching methods and the supporting tools that will be used to achieve the expected learning outcomes are the following: - frontal lessons - practical exercises - seminars - laboratories - teamwork - analysis of real case studiesType of evaluation
The final evaluation is based on the development of some projects and on a written test lasting 1 hour. - The projects are carried out in groups and consist of both solving problems assigned by the teacher and carrying out activities agreed with the teacher. - The written test is organized through exercises aimed at verifying the level of effective understanding of the concepts and the students' ability to apply them in real contexts. The tests assigned in previous years are available on the course website.Mutuazione: 20802125 BIG DATA in Ingegneria informatica LM-32 N0 TORLONE RICCARDO, gregori luca