Managing cloud data lakes often leads to inefficiency as teams spend excessive time building pipelines, cleansing data, handling schema drift, and maintaining catalogs. Without automation, lakes risk turning into costly, unusable data swamps. Fivetran with Amazon S3 and Apache Iceberg solves this by automating ingestion from 500+ sources, blocking or hashing PII before ingestion, and continuously normalizing, deduplicating, and compacting data into query-ready formats. Metadata is automatically pushed into AWS Glue, enabling immediate analytics. This approach reduces engineering overhead, ensures compliance, cuts costs tied to proprietary warehouses, and delivers reliable, real-time data for BI, AI, and ML.

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