Cloud Services Projects

When deciding among AWS, Azure, and GCP for Python development in data engineering: Choose AWS if you are looking for a broad range of services and global infrastructure, particularly strong in market share and service offerings including machine learning and analytics. Opt for Azure if you are heavily invested in Microsoft's ecosystem or prioritize integration with Windows-based and Microsoft software, offering excellent hybrid cloud capabilities. Google Cloud Platform is a strong choice for data engineering tasks, especially if you're leveraging big data, analytics, and machine learning, powered by Google's expertise in data processing and AI.