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Explores dependability in industrial automation, covering reliability, safety, fault characteristics, and examples of failure sources in various industries.
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Explores real-time control systems, determinism, and automation in critical systems, emphasizing the significance of meeting time constraints for safety and efficiency.
Covers the fundamentals of control and field level devices in industrial automation, including PLCs, programming, different types of controllers, and advanced control strategies.