This guide explains data engineering’s role in enabling AI and analytics by collecting, transforming, and managing massive, diverse data. It compares ETL and ELT pipelines, highlighting ELT’s speed, flexibility, and suitability for unstructured data. Cloud platforms simplify scaling, governance, and sharing, while DataOps practices ensure quality, security, and lineage. Snowflake’s AI Data Cloud helps break silos, lower costs, and enable real-time, secure collaboration. With support for diverse workloads and custom apps, it provides a unified, scalable foundation for building pipelines, training AI models, and democratizing data access across organizations.

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