Amazon SageMaker Lakehouse, unveiled this week at the AWS re:Invent 2024 conference, marks another major milestone in a year of significant advancements in data lake technology, driven by growing enterprise demand for modern solutions. Earlier this year, Fivetran introduced the Fivetran Managed Data Lake Service, which combines 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, the rapidly emerging industry standard for data lake formats. With Iceberg, organizations benefit from advanced capabilities like schema evolution, time travel and ACID transactions, making data lakes more powerful and flexible. However, reliably moving data into Amazon SageMaker Lakehouse remains a significant challenge for many.

Fivetran solves this problem with our Managed Data Lake Service, providing an automated, secure way to integrate data into Amazon SageMaker Lakehouse. This enables businesses to maximize the value of their data lakes through efficient, governed and analytics-ready data.

Fivetran is the trusted partner for AWS customers

Fivetran has been the trusted data integration solution for more than 600 AWS customers, providing analytics-ready data from over 650 data sources — including Amazon Aurora databases, Amazon Ads and Amazon CloudFront — to Redshift and S3. 

For organizations like Coupa, Fivetran has reduced time-to-value from 6 months to weeks, enabling faster, data-driven decision-making.

“Customer information was spread out across the company in data silos, and there was no way to get a clear, holistic view of each customer and how they were interacting with the app,” Thomas said. “Once I saw what Fivetran could do, I knew we were on the right track with solving our data problem."
— Thomas Rasmussen, Director of Technology

Key benefits of Fivetran’s Managed Data Lake Service

OurManaged Data Lake Service minimizes the manual effort required to build and maintain pipelines to Amazon S3. Key capabilities include:

• Fully automated change data capture pipelines: Fivetran automatically hashes sensitive data while cleansing, normalizing and loading data into Amazon S3.
• One-step conversion to open table formats: Fivetran automatically converts data to Iceberg table formats, enabling features like ACID transactions, schema evolution and time travel. It also simplifies compliance and governance by aligning with open standards.
• Enhanced metadata management: Fivetran automatically populates metadata into catalogs like AWS Glue, improving discoverability and compliance.

By providing structured, governed and accurate data, Fivetran allows organizations to maximize the value of their data lakes, enabling them to perform as efficiently as a cloud data warehouse.

[CTA_MODULE]