Construyendo desde la raíz: guía para tus primeros pasos en datos y cloud

This article guides aspiring data and cloud engineers through initial learning steps. The author shares personal experiences and resources that proved helpful in their journey. Recommended books cover various aspects, from Python fundamentals and data analysis to advanced topics like Spark and Delta Lake. The suggested reading list ranges in difficulty, starting with beginner-friendly options and progressing to more advanced material. Alongside books, several free online courses are recommended, focusing on data pipelines and cloud computing basics from platforms like AWS and Azure. Active participation in relevant online communities is strongly encouraged for support and networking. The author highlights various data and cloud-focused communities offering free courses, study groups, and certification preparation. Finally, the author emphasizes the importance of hands-on practice and starting with a single resource to gain practical experience. The article stresses that doubt is normal and encourages readers to build something practical to solidify their learning. Choosing a path, starting small, and actively engaging in the community are key takeaways.