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Related lectures (32)
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Data Warehouses and Data Lakes
Covers data warehouses, data lakes, OLTP vs. OLAP, data quality, and the Data Lakehouse concept.
Digital Transformation: Solutions and Data
Explores digital transformation opportunities, big data, analytics, and technology innovations in business and research.
Analytical Trajectories: Key Ingredients
Explores analytical trajectories, emphasizing critical points, inequalities, and analyticity.
Environmental Engineering Specialization
Showcases Laura's research on plant hydraulic functions and climate change impacts.
Markov Chains: Theory and Applications
Covers the theory and applications of Markov chains in modeling random phenomena and decision-making under uncertainty.
Artificial Intelligence: The New Radical Addition to Work
Explores the convergence of IoT, Big Data, and Deep Learning in Artificial Intelligence applications across various industries.
Key Components in IoT and Benefits for Industry
Explores key components of IoT and its potential long-term economic benefits.
Big Data Best Practices and Guidelines
Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.
General-Purpose Distributed Execution System
Explores the design of a general-purpose distributed execution system, covering challenges, specialized frameworks, decentralized control logic, and high-performance shuffle.
Built-in Events: Activation Guide
Explains how to check and activate built-in events for analytics.
