Libro adottato a Politecnico di Milano, a.a. 2026/2027 · 5 canali
«Marting Kleppmann – The Big Ideas Behind Reliable» è adottato per Systems And Methods For Big And Unstructured Data dal prof. Marco Brambilla (Computer Science and Engineering, Geoinformatics Engineering, High Performance Computing Engineering e altri corsi – Politecnico di Milano).
Come lo indica il docente: Marting Kleppmann, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, O'Reilly, Anno edizione: 2017, ISBN: 978-1449373320
Marting Kleppmann – The Big Ideas Behind Reliablequesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: The course content is organized in three main chapters: 1. Approaches to Big Data management Big Data problems and dimensions Data engineering and data science pipeline Enterprise-scale data management Scalability and persistency vs. volatility issues Cross-source data integration problems and architectures CAP theorem and implications.
Marting Kleppmann – The Big Ideas Behind Reliablequesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: The course content is organized in three main chapters: 1. Approaches to Big Data management Big Data problems and dimensions Data engineering and data science pipeline Enterprise-scale data management Scalability and persistency vs. volatility issues Cross-source data integration problems and architectures CAP theorem and implications.
Marting Kleppmann – The Big Ideas Behind Reliablequesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: The course content is organized in three main chapters: 1. Approaches to Big Data management Big Data problems and dimensions Data engineering and data science pipeline Enterprise-scale data management Scalability and persistency vs. volatility issues Cross-source data integration problems and architectures CAP theorem and implications.
Marting Kleppmann – The Big Ideas Behind Reliablequesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: The course content is organized in three main chapters: 1. Approaches to Big Data management Big Data problems and dimensions Data engineering and data science pipeline Enterprise-scale data management Scalability and persistency vs. volatility issues Cross-source data integration problems and architectures CAP theorem and implications.
Marting Kleppmann – The Big Ideas Behind Reliablequesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: The course content is organized in three main chapters: 1. Approaches to Big Data management Big Data problems and dimensions Data engineering and data science pipeline Enterprise-scale data management Scalability and persistency vs. volatility issues Cross-source data integration problems and architectures CAP theorem and implications.
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