Event data, stream processing, and data integration
Libro adottato a Politecnico di Milano, a.a. 2026/2027 · 5 canali
«Event data, stream processing, and data integration» è adottato per Streaming Data Analytics dal prof. Emanuele Della Valle (Computer Science and Engineering, Engineering Physics, High Performance Computing Engineering e altri corsi – Politecnico di Milano).
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Come lo indica il docente: Event data, stream processing, and data integration., O'Reilly Media, Inc., Anno edizione: 2014 https://books.google.it/books?id=gdiYBAAAQBAJ&lpg=PR3&ots=3yOdY3Vi7S&dq=I%20love%20logs&lr&pg=PR3#v=onepage&q=I%20love%20logs&f=false
Argomenti del programma: Streaming Data Engineering This Streaming Data Engineering part of the course covers theoretical and practical aspects of Event-Based Systems (EBS), Data Stream Management Systems (DSMS), and Complex Event Processing (CEP). It uses the Event Processing Language (EPL) to illustrate typical DSMS and CEP operations. This segment equips students with essential skills for real-time data processing and analysis.
Argomenti del programma: Streaming Data Engineering This Streaming Data Engineering part of the course covers theoretical and practical aspects of Event-Based Systems (EBS), Data Stream Management Systems (DSMS), and Complex Event Processing (CEP). It uses the Event Processing Language (EPL) to illustrate typical DSMS and CEP operations. This segment equips students with essential skills for real-time data processing and analysis.
Argomenti del programma: Streaming Data Engineering This Streaming Data Engineering part of the course covers theoretical and practical aspects of Event-Based Systems (EBS), Data Stream Management Systems (DSMS), and Complex Event Processing (CEP). It uses the Event Processing Language (EPL) to illustrate typical DSMS and CEP operations. This segment equips students with essential skills for real-time data processing and analysis.
Argomenti del programma: Streaming Data Engineering This Streaming Data Engineering part of the course covers theoretical and practical aspects of Event-Based Systems (EBS), Data Stream Management Systems (DSMS), and Complex Event Processing (CEP). It uses the Event Processing Language (EPL) to illustrate typical DSMS and CEP operations. This segment equips students with essential skills for real-time data processing and analysis.
Argomenti del programma: Streaming Data Engineering This Streaming Data Engineering part of the course covers theoretical and practical aspects of Event-Based Systems (EBS), Data Stream Management Systems (DSMS), and Complex Event Processing (CEP). It uses the Event Processing Language (EPL) to illustrate typical DSMS and CEP operations. This segment equips students with essential skills for real-time data processing and analysis.
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