Fivetran brings automated data integration to Amazon SageMaker Lakehouse

Amazon SageMaker Lakehouse was unveiled at AWS re:Invent 2024 conference, marking another significant advancement in data lake technology driven by growing enterprise demand. Fivetran introduced the Managed Data Lake Service earlier this year, combining the flexibility of a data lake with the governance and performance traditionally associated with data warehouses to deliver a streamlined, scalable data integration solution. Amazon SageMaker Lakehouse builds on Amazon's support for Apache Iceberg, offering advanced capabilities like schema evolution, time travel, and ACID transactions. Fivetran solves the challenge of moving data into Amazon SageMaker Lakehouse with its Managed Data Lake Service, enabling businesses to maximize the value of their data lakes through efficient, governed, and analytics-ready data. Fivetran has been a trusted partner for over 600 AWS customers, providing analytics-ready data from more than 650 data sources. Key benefits of Fivetran's Managed Data Lake Service include fully automated change data capture pipelines, one-step conversion to open table formats, and enhanced metadata management.