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Embark on a comprehensive data engineering journey with this full course that combines Apache Airflow, Docker, Spark Clusters, Scala, Python, and Java. Create an end-to-end project, developing basic jobs in multiple programming languages, submitting them to a Spark cluster for processing, and observing live results. Learn to set up a Spark Cluster and Airflow on Docker, create Spark jobs using Python, Scala, and Java, build and compile Scala and Java jobs, and analyze cluster computation results. Gain hands-on experience in workflow automation, big data analytics, and data processing techniques essential for aspiring data engineers.
