Learn to create and submit Scala jobs to Spark clusters using Airflow in this comprehensive tutorial. Develop an end-to-end data engineering project combining Apache Airflow, Docker, Spark Clusters, Scala, Python, and Java. Create basic jobs in multiple programming languages, submit them to the Spark cluster for processing, and observe live results. Explore topics such as setting up Spark clusters and Airflow on Docker, creating Spark jobs in Python, Scala, and Java, building and compiling Scala and Java jobs, and analyzing cluster computation results. Gain hands-on experience in big data processing, workflow automation, and data engineering techniques using popular tools and frameworks.
Overview
Syllabus
Introduction
Creating The Spark Cluster and Airflow on Docker
Creating Spark Job with Python
Creating Spark Job with Scala
Building and Compiling Scala Jobs
Creating Spark Job with Java
Building and Compiling Java Jobs
Cluster computation results
Taught by
CodeWithYu
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