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.