Powering Amazon Redshift Analytics with Apache Spark and Amazon Machine Learning

Powering Amazon Redshift Analytics with Apache Spark and Amazon Machine Learning

Air travel can be stressful due to the many factors that are simply out of airline passengers’ control. As passengers, we want to minimize this stress as much as we can. We can do this by using past data to make predictions about how likely a flight will be delayed based on the time of day or the airline carrier.In this post, we generate a predictive model for flight delays that can be used to help us pick the flight least likely to add to our travel stress. To accomplish this, we will use Apache Spark running on Amazon EMR for extracting, transforming, and loading (ETL) the data, Amazon Redshift for analysis, and Amazon Machine Learning for creating predictive models. This solution gives a good example of combining multiple AWS…


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