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2 Disciplinas

Big Data: Principles, Technologies, and Applications (Basic Level)
Big Data
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Professor: Aditya GroverProfessor: Fatma Hachani

Big Data: Principles, Technologies, and Applications (Basic Level)

This course offers an introduction to Big Data, covering essential concepts, technologies, and practical strategies for big data ingestion, processing, and management. Participants will explore Big Data applications across various sectors including the Blue Economy, and learn about ethical, regulatory, and sustainable practices.
The course equips professionals, students, and entrepreneurs with the necessary concepts to design effective data pipelines, data warehouses, and comprehensive Big Data strategies for organizational growth.

Big Data: (Advanced Level)
Big Data
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Professor: Aditya GroverProfessor: Fatma Hachani

Big Data: (Advanced Level)

This advanced course covers Big Data architecture, real-time data processing, high-performance computing, and big data analytics. Participants will explore advanced tools in the Hadoop ecosystem, scalable data ingestion methods, streaming methods and cloud-based technologies. The focus is on designing and implementing efficient, scalable data pipelines, using HPC and optimisation methodologies.