Data Engineering in 60 seconds #dataengineering #aws #spark
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A quick overview of the data engineering learning path covering foundational skills (Python, SQL), big data fundamentals (data warehouses, fact/dimension tables, ETL, complex schemas), data processing frameworks (Apache Spark for batch, Apache Kafka for real-time), and cloud platforms (AWS, GCP, Azure). Suggests picking a tool like Synapse for hands-on practice.
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