(3 units). Fundamentals of complex and large-scale data processing in the cloud (evolution, characteristics, application). Distributed data processing approaches: master/slave, vertical vs. horizontal scalability, batch and streaming, transactions management, CAP Theorem. Batch processing. In-memory processing. Data processing clusters and pipelines. Hands-on experience developing and managing complex and large-scale data pipeline applications in a cloud. NoSQL databases (characteristics, types, architectures). Data lakes and cloud computing infrastructure. Course Component: Lecture
(3 units). Fundamentals of complex and large-scale data processing in the cloud (evolution, characteristics, application). Distributed data processing approaches: master/slave, vertical vs. horizontal scalability, batch and streaming, transactions management, CAP Theorem. Batch processing. In-memory processing. Data processing clusters and pipelines. Hands-on experience developing and managing complex and large-scale data pipeline applications in a cloud. NoSQL databases (characteristics, types, architectures). Data lakes and cloud computing infrastructure. Course Component: Lecture
