This article explains how Fivetran and Amazon S3 with Apache Iceberg enable organizations to build modern, compliant data lakes for analytics and machine learning.

• Fivetran automates data ingestion from 300+ sources into Amazon S3
• Apache Iceberg format provides ACID transactions, schema evolution, and time travel capabilities
• Eliminates traditional data lake challenges: discovery, data preparation, and governance
• AWS Glue integration provides metadata transparency and data catalog functionality
• Row-level permissions via AWS Lake Formation enable granular access control
• GDPR/CCPA compliant with record deletion capabilities for "right to be forgotten"
• Reduces operational complexity and maintenance costs versus custom pipelines
• Data immediately queryable via Amazon Athena, Redshift, or other engines

Fivetran's automated platform simplifies data lake modernization by handling ingestion, cleansing, and normalization while ensuring security, governance, and compliance.