The ultimate guide to modern data movement on the Lakehouse explains how Fivetran and Databricks automate and secure ELT pipelines to support analytics and AI. Traditional ETL pipelines are brittle, breaking under schema drift and changing business needs, while Fivetran’s ELT approach decouples transformations, enabling incremental updates, idempotence, and live schema handling. With 300+ connectors, automated normalization, and compliance features like column masking and RBAC, it ensures reliable, secure, and query-ready data. Databricks’ Lakehouse unifies warehousing, lakes, and governance through Delta Lake and Unity Catalog, enabling real-time analytics, scalability, and AI-driven innovation.

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