Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Covers cloud migration, domain name directives, IT security, digitalization projects, and the deployment of the Catalyse project at EPFL.
Introduces the Swiss Research Program focused on engineering multi-scale systems for health, security, energy, and the environment.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
