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Dataengineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. What is dataengineering?
Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, dataengineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for dataengineering and MLOps workflows.
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