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The data engineering roadmap for 2020 and 2021 presents an overwhelming array of skills required to become a data engineer, including batch ETL, streaming, DevOps, APIs, and machine learning. This comprehensive image suggests there is over a decade's worth of learning involved, making it difficult for beginners to identify a clear path from novice to skilled data engineer. The multitude of skills can be intimidating, potentially leading learners to feel lost if they attempt to tackle everything simultaneously. Additionally, a search for data engineering tools further illustrates the extensive range of knowledge and resources that one is expected to learn within the field.