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Covers data stream processing with Apache Kafka and Spark, including event time vs processing time, stream processing operations, and stream-stream joins.
Explores data quality in Life Cycle Assessment, covering inventory format, control, measurement procedures, uncertainty factors, and the Data Quality Rating system.
Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.
