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Are you ready to master big data processing at scale? This comprehensive course, Apache Spark with Databricks for Data Engineers, is your complete guide to learning Apache Spark and Databricks, the most in-demand tools in modern data engineering.Whether you’re an aspiring Data Engineer, a Data Scientist looking to scale, or a software professional transitioning into the big data world, this course gives you the practical skills, projects, and knowledge to become job-ready.In this course, you will:Build a solid foundation in Spark, from RDDs to Structured APIs.Understand Spark internals, transformations, actions, and joins.Learn Lakehouse and Delta Lake for reliable, scalable data storage.Apply the Medallion architecture (Bronze, Silver, Gold layers) to streamline pipelines.Master Databricks Workspace, Clusters, DBFS, and Delta Lake features.Work on real-world projects on AWS and Azure with end-to-end pipelines.By the end, you’ll be able to design, debug, and deploy production-ready Spark applications confidently