Introduction to Data Stream Processing

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Page 3 of 4

Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.

Explores Big Data generation, storage, processing, and dimensions, along with challenges in data analytics, cloud computing elasticity, and security.

Explores combining data at rest with data in motion, emphasizing the Lambda architecture complexities and quality assessment of streams and batches.

Covers advancements in data analytics systems and the role of hardware-software co-design in enhancing performance in the Post-Moore era.

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.

Introduces LabVIEW for data processing and visualization, covering topics like waveform synchronization and color lookup tables.

Covers Principal Component Analysis for dimension reduction in biological data, focusing on visualization and pattern identification.

Explores data preparation for machine learning, emphasizing categorical to numerical conversion and effective data visualization techniques.

Covers digital history projects, social relationships in research, data preprocessing challenges, and network analysis tools.

Explores integrating IoT sensors with cloud platforms and the key players in the IoT market.